Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the first names of students whose first names contain letter "a".
[query_database(**{'query': 'SELECT DISTINCT Fname FROM STUDENT WHERE Fname LIKE '%a%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,655
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the rooms of faculties with rank professor who live in building NEB.
[query_database(**{'query': 'SELECT Room FROM FACULTY WHERE Rank = "Professor" AND Building = "NEB"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question List all information about courses sorted by credits in the ascending order.
[query_database(**{'query': 'SELECT * FROM COURSE ORDER BY Credits'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,663
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the first name of students in the descending order of age.
[query_database(**{'query': 'SELECT Fname FROM STUDENT ORDER BY Age DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,667
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the last names of faculties in building Barton in alphabetic order.
[query_database(**{'query': 'SELECT Lname FROM FACULTY WHERE Building = "Barton" ORDER BY Lname'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,671
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the name of the department that has the biggest number of students minored in?
[query_database(**{'query': 'SELECT T1.DName FROM DEPARTMENT AS T1 JOIN MINOR_IN AS T2 ON T1.DNO = T2.DNO GROUP BY T2.DNO ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,675
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the name of the department that has the fewest members.
[query_database(**{'query': 'SELECT T1.DName FROM DEPARTMENT AS T1 JOIN MEMBER_OF AS T2 ON T1.DNO = T2.DNO GROUP BY T2.DNO ORDER BY count(*) ASC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,679
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What are the first and last names of the instructors who teach the top 3 number of courses?
[query_database(**{'query': 'SELECT T2.Fname , T2.Lname FROM COURSE AS T1 JOIN FACULTY AS T2 ON T1.Instructor = T2.FacID GROUP BY T1.Instructor ORDER BY count(*) DESC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What are the name of courses that have at least five enrollments?
[query_database(**{'query': 'SELECT T1.CName FROM COURSE AS T1 JOIN ENROLLED_IN AS T2 ON T1.CID = T2.CID GROUP BY T2.CID HAVING COUNT(*) >= 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,688
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What are the department name and room for the course INTRODUCTION TO COMPUTER SCIENCE?
[query_database(**{'query': 'SELECT T2.Dname , T2.Room FROM COURSE AS T1 JOIN DEPARTMENT AS T2 ON T1.DNO = T2.DNO WHERE T1.CName = "INTRODUCTION TO COMPUTER SCIENCE"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,692
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What are the distinct first names for students with a grade point of 3.8 or above in at least one course?
[query_database(**{'query': 'SELECT DISTINCT T3.Fname FROM ENROLLED_IN AS T1 JOIN GRADECONVERSION AS T2 JOIN STUDENT AS T3 ON T1.Grade = T2.lettergrade AND T1.StuID = T3.StuID WHERE T2.gradepoint >= 3.8'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the last names of faculties who are members of computer science department.
[query_database(**{'query': 'SELECT T2.Lname FROM DEPARTMENT AS T1 JOIN FACULTY AS T2 ON T1.DNO = T3.DNO JOIN MEMBER_OF AS T3 ON T2.FacID = T3.FacID WHERE T1.DName = "Computer Science"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,701
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What is the maximum and minimum grade point of students who live in NYC?
[query_database(**{'query': 'SELECT max(T2.gradepoint) , min(T2.gradepoint) FROM ENROLLED_IN AS T1 JOIN GRADECONVERSION AS T2 JOIN STUDENT AS T3 ON T1.Grade = T2.lettergrade AND T1.StuID = T3.StuID WHERE T3.city_code = "NYC"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,705
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the names of departments that are either in division AS or in division EN and in Building NEB.
[query_database(**{'query': 'SELECT DName FROM DEPARTMENT WHERE Division = "AS" UNION SELECT DName FROM DEPARTMENT WHERE Division = "EN" AND Building = "NEB"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,709
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the ids of the top three products that were purchased in the largest amount?
[query_database(**{'query': 'SELECT product_id FROM product_suppliers ORDER BY total_amount_purchased DESC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Find the number of different product types.
[query_database(**{'query': 'SELECT count(DISTINCT product_type_code) FROM products'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the staff ids and genders of all staffs whose job title is Department Manager?
[query_database(**{'query': 'SELECT T1.staff_id , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Department Manager"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What is the id of the product that was ordered the most often?
[query_database(**{'query': 'SELECT product_id FROM order_items GROUP BY product_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What is the average price for each type of product?
[query_database(**{'query': 'SELECT product_type_code , avg(product_price) FROM products GROUP BY product_type_code'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What is the name and job title of the staff who was assigned the latest?
[query_database(**{'query': 'SELECT T1.staff_name , T2.job_title_code FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY T2.date_assigned_to DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Return the distinct name of customers whose order status is Pending, in the order of customer id.
[query_database(**{'query': 'SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending" ORDER BY T2.customer_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Return ids of all the products that are supplied by supplier id 2 and are more expensive than the average price of all products.
[query_database(**{'query': 'SELECT T1.product_id FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 2 AND T2.product_price > (SELECT avg(product_price) FROM products)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the ids of the two department store chains with the largest number of department stores?
[query_database(**{'query': 'SELECT dept_store_chain_id FROM department_stores GROUP BY dept_store_chain_id ORDER BY count(*) DESC LIMIT 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question For each product type, return the maximum and minimum price.
[query_database(**{'query': 'SELECT product_type_code , max(product_price) , min(product_price) FROM products GROUP BY product_type_code'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Find the id and name of the staff who has been assigned for the shortest period.
[query_database(**{'query': 'SELECT T1.staff_id , T1.staff_name FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY date_assigned_to - date_assigned_from LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Find the ids of all distinct customers who made order after some orders that were Cancelled.
[query_database(**{'query': 'SELECT DISTINCT customer_id FROM Customer_Orders WHERE order_date > (SELECT min(order_date) FROM Customer_Orders WHERE order_status_code = "Cancelled")'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the names and ids of customers whose address contains TN?
[query_database(**{'query': 'SELECT customer_name , customer_id FROM customers WHERE customer_address LIKE "%TN%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the names and genders of staff who were assigned in 2016?
[query_database(**{'query': 'SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.date_assigned_from LIKE "2016%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the names and phone numbers for all suppliers, sorted in alphabetical order of their addressed?
[query_database(**{'query': 'SELECT T1.supplier_name , T1.supplier_phone FROM Suppliers AS T1 JOIN supplier_addresses AS T2 ON T1.supplier_id = T2.supplier_id JOIN addresses AS T3 ON T2.address_id = T3.address_id ORDER BY T3.address_details'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the ids of all products that were either ordered more than 3 times or have a cumulative amount purchased of above 80000?
[query_database(**{'query': 'SELECT product_id FROM Order_Items GROUP BY product_id HAVING count(*) > 3 UNION SELECT product_id FROM Product_Suppliers GROUP BY product_id HAVING sum(total_amount_purchased) > 80000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the ids of suppliers which have an average amount purchased of above 50000 or below 30000?
[query_database(**{'query': 'SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id HAVING avg(total_amount_purchased) > 50000 OR avg(total_amount_purchased) < 30000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Return the maximum and minimum customer codes.
[query_database(**{'query': 'SELECT max(customer_code) , min(customer_code) FROM Customers'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the distinct names and phone numbers for suppliers who have red jeans?
[query_database(**{'query': 'SELECT DISTINCT T1.supplier_name , T1.supplier_phone FROM suppliers AS T1 JOIN product_suppliers AS T2 ON T1.supplier_id = T2.supplier_id JOIN products AS T3 ON T2.product_id = T3.product_id WHERE T3.product_name = "red jeans"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the order ids and customer ids for orders that have been Cancelled, sorted by their order dates?
[query_database(**{'query': 'SELECT order_id , customer_id FROM customer_orders WHERE order_status_code = "Cancelled" ORDER BY order_date'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the distinct names of customers who have purchased at least three different products?
[query_database(**{'query': 'SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T2.order_id = T3.order_id GROUP BY T1.customer_id HAVING COUNT (DISTINCT T3.product_id) >= 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the ids and names of customers with addressed that contain WY and who do not use a credit card for payment?
[query_database(**{'query': 'SELECT customer_id , customer_name FROM customers WHERE customer_address LIKE "%WY%" AND payment_method_code != "Credit Card"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What is the name of the hardware product with the greatest price?
[query_database(**{'query': 'SELECT product_name FROM products WHERE product_type_code = 'Hardware' ORDER BY product_price DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What is the average number of international passengers for an airport?
[query_database(**{'query': 'SELECT avg(International_Passengers) FROM airport'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,806
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What are the total number of domestic passengers at all London airports?
[query_database(**{'query': 'SELECT sum(Domestic_Passengers) FROM airport WHERE Airport_Name LIKE "%London%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question what is the name of every pilot who is at least 25 years old?
[query_database(**{'query': 'SELECT Name FROM pilot WHERE Age >= 25'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,814
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What are the names of all pilots 30 years old or young in descending alphabetical order?
[query_database(**{'query': 'SELECT Name FROM pilot WHERE Age <= 30 ORDER BY Name DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,818
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What are the names and descriptions of aircrafts associated with an airport that has more total passengers than 10000000?
[query_database(**{'query': 'SELECT T1.Aircraft , T1.Description FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T3.Total_Passengers > 10000000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,822
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What is the location and name of the winning aircraft?
[query_database(**{'query': 'SELECT T2.Location , T1.Aircraft FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,823
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question List the name of the aircraft that has been named winning aircraft the most number of times.
[query_database(**{'query': 'SELECT T1.Aircraft FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft ORDER BY COUNT(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,827
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question List names of all pilot in descending order of age.
[query_database(**{'query': 'SELECT Name FROM pilot ORDER BY Age DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,831
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question List the names of aircrafts and that did not win any match.
[query_database(**{'query': 'SELECT Aircraft FROM aircraft WHERE Aircraft_ID NOT IN (SELECT Winning_Aircraft FROM MATCH)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,835
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question Show all information on the airport that has the largest number of international passengers.
[query_database(**{'query': 'SELECT * FROM airport ORDER BY International_Passengers DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,839
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question what is the name and age of the youngest winning pilot?
[query_database(**{'query': 'SELECT t1.name , t1.age FROM pilot AS t1 JOIN MATCH AS t2 ON t1.pilot_id = t2.winning_pilot ORDER BY t1.age LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,843
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */ ### Question How many residents does each property have? List property id and resident count.
[query_database(**{'query': 'SELECT T1.property_id , count(*) FROM properties AS T1 JOIN residents AS T2 ON T1.property_id = T2.property_id GROUP BY T1.property_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */ ### Question List the id and type of each thing, and the details of the organization that owns it.
[query_database(**{'query': 'SELECT T1.thing_id , T1.type_of_Thing_Code , T2.organization_details FROM Things AS T1 JOIN Organizations AS T2 ON T1.organization_id = T2.organization_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */
4,851
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */ ### Question What are the distinct id and type of the thing that has the status 'Close' or has a status record before the date '2017-06-19 02:59:21'
[query_database(**{'query': 'SELECT DISTINCT T2.thing_id , T2.Type_of_Thing_Code FROM Timed_Status_of_Things AS T1 JOIN Things AS T2 ON T1.thing_id = T2.thing_id WHERE T1.Status_of_Thing_Code = 'Close' OR T1.Date_and_Date < '2017-06-19 02:59:21''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */
4,856
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */ ### Question What are the resident details containing the substring 'Miss'?
[query_database(**{'query': 'SELECT other_details FROM Residents WHERE other_details LIKE '%Miss%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question How many schools are there?
[query_database(**{'query': 'SELECT count(*) FROM school'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */
4,863
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question What is the list of school locations sorted in ascending order of school enrollment?
[query_database(**{'query': 'SELECT LOCATION FROM school ORDER BY Enrollment ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question List the enrollment for each school that does not have "Catholic" as denomination.
[query_database(**{'query': 'SELECT Enrollment FROM school WHERE Denomination != "Catholic"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question Find the team of each player and sort them in ascending alphabetical order.
[query_database(**{'query': 'SELECT Team FROM player ORDER BY Team ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question Which team has the oldest player?
[query_database(**{'query': 'SELECT Team FROM player ORDER BY Age DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question What are the team and the location of school each player belongs to?
[query_database(**{'query': 'SELECT T1.Team , T2.Location FROM player AS T1 JOIN school AS T2 ON T1.School_ID = T2.School_ID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question What is the denomination of the school the most players belong to?
[query_database(**{'query': 'SELECT T2.Denomination FROM player AS T1 JOIN school AS T2 ON T1.School_ID = T2.School_ID GROUP BY T1.School_ID ORDER BY COUNT(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question For each denomination, return the denomination and the count of schools with that denomination.
[query_database(**{'query': 'SELECT Denomination , COUNT(*) FROM school GROUP BY Denomination'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question What is the school color of the school with the largest enrollment?
[query_database(**{'query': 'SELECT School_Colors FROM school ORDER BY Enrollment DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question What are the denominations used by both schools founded before 1890 and schools founded after 1900?
[query_database(**{'query': 'SELECT Denomination FROM school WHERE Founded < 1890 INTERSECT SELECT Denomination FROM school WHERE Founded > 1900'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */
4,899
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */ ### Question What are the denomination more than one school have?
[query_database(**{'query': 'SELECT Denomination FROM school GROUP BY Denomination HAVING COUNT(*) > 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "school" ( "School_ID" int, "School" text, "Location" text, "Enrollment" real, "Founded" real, "Denomination" text, "Boys_or_Girls" text, "Day_or_Boarding" text, "Year_Entered_Competition" real, "School_Colors" text, PRIMARY KEY ("School_Id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_ID || School || Location ||Enrollment ||Founded ||Denomination ||Boys_or_Girls ||Day_or_Boarding ||Year_Entered_Competition || School_Colors 1 ||St Aloysius' College ||Milsons Point || 1200.0 || 1879.0 || Catholic || Boys || Day || 1929.0 ||Royal Blue and Gold */ CREATE TABLE "school_details" ( "School_ID" int, "Nickname" text, "Colors" text, "League" text, "Class" text, "Division" text, PRIMARY KEY ("School_Id"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_details LIMIT 1; School_ID ||Nickname || Colors ||League || Class || Division 1 || Tigers ||Blue and Yellow || DSHA ||Flight A ||Division 1 */ CREATE TABLE "school_performance" ( "School_Id" int, "School_Year" text, "Class_A" text, "Class_AA" text, PRIMARY KEY ("School_Id","School_Year"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM school_performance LIMIT 1; School_Id ||School_Year ||Class_A ||Class_AA 1 || 1987-88 || Yantis || Blanco */ CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Team" text, "Age" int, "Position" text, "School_ID" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`School_ID`) REFERENCES `school`(`School_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || Player || Team ||Age || Position ||School_ID 1 ||Timothy Beckham ||Tampa Bay Devil Rays || 15 ||Shortstop || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question What is the maximum page size for everything that has more than 3 products listed?
[query_database(**{'query': 'SELECT max_page_size FROM product GROUP BY max_page_size HAVING count(*) > 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question What are the names of all districts with a city area greater than 10 or have more than 100000 people living there?
[query_database(**{'query': 'SELECT district_name FROM district WHERE city_area > 10 OR City_Population > 100000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question What is the name of the district with the smallest area?
[query_database(**{'query': 'SELECT district_name FROM district ORDER BY city_area ASC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
4,915
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question For each type of store, how many of them are there?
[query_database(**{'query': 'SELECT TYPE , count(*) FROM store GROUP BY TYPE'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question What are the names of all the stores in the largest district by population?
[query_database(**{'query': 'SELECT t1.store_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id WHERE district_id = (SELECT district_id FROM district ORDER BY city_population DESC LIMIT 1)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question How many stores are headquarted in each city?
[query_database(**{'query': 'SELECT t3.headquartered_city , count(*) FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
4,927
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question What is the average number of pages per minute color?
[query_database(**{'query': 'SELECT avg(pages_per_minute_color) FROM product'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question Find products with max page size as "A4" and pages per minute color smaller than 5.
[query_database(**{'query': 'SELECT product FROM product WHERE max_page_size = "A4" AND pages_per_minute_color < 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question Find all the product whose name contains the word "Scanner".
[query_database(**{'query': 'SELECT product FROM product WHERE product LIKE "%Scanner%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question Find the name of the products that are not using the most frequently-used max page size.
[query_database(**{'query': 'SELECT product FROM product WHERE product != (SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */ ### Question Find the names of districts where have both city mall and village store type stores.
[query_database(**{'query': 'SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "City Mall" INTERSECT SELECT t3.District_name FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.Type = "Village Store"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "product" ( "product_id" int, "product" text, "dimensions" text, "dpi" real, "pages_per_minute_color" real, "max_page_size" text, "interface" text, PRIMARY KEY ("product_id") ) /* 1 example row: SELECT * FROM product LIMIT 1; product_id || product || dimensions || dpi ||pages_per_minute_color ||max_page_size ||interface 1 ||Fujitsu fi-6130 A4 Series Scanner ||301 x 160 x 158 ||600.0 || 30.0 || A4 || USB 2.0 */ CREATE TABLE "store" ( "Store_ID" int, "Store_Name" text, "Type" text, "Area_size" real, "Number_of_product_category" real, "Ranking" int, PRIMARY KEY ("Store_ID") ) /* 1 example row: SELECT * FROM store LIMIT 1; Store_ID ||Store_Name || Type ||Area_size ||Number_of_product_category ||Ranking 1 || Miramichi ||City Mall || 179.84 || 17811.0 || 2 */ CREATE TABLE "district" ( "District_ID" int, "District_name" text, "Headquartered_City" text, "City_Population" real, "City_Area" real, PRIMARY KEY ("District_ID") ) /* 1 example row: SELECT * FROM district LIMIT 1; District_ID || District_name ||Headquartered_City ||City_Population ||City_Area 1 ||Attock District || Attock City || 94620.0 || 20.0 */ CREATE TABLE "store_product" ( "Store_ID" int, "Product_ID" int, PRIMARY KEY ("Store_ID","Product_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`Product_ID`) REFERENCES `product`(`Product_ID`) ) /* 1 example row: SELECT * FROM store_product LIMIT 1; Store_ID ||Product_ID 1 || 1 */ CREATE TABLE "store_district" ( "Store_ID" int, "District_ID" int, PRIMARY KEY ("Store_ID"), FOREIGN KEY (`Store_ID`) REFERENCES `store`(`Store_ID`), FOREIGN KEY (`District_ID`) REFERENCES `district`(`District_ID`) ) /* 1 example row: SELECT * FROM store_district LIMIT 1; Store_ID ||District_ID 1 || 15 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question How many colleges in total?
[query_database(**{'query': 'SELECT count(*) FROM College'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
4,952
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question How many colleges has more than 15000 students?
[query_database(**{'query': 'SELECT count(*) FROM College WHERE enr > 15000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question Find the name and training hours of players whose hours are below 1500.
[query_database(**{'query': 'SELECT pName , HS FROM Player WHERE HS < 1500'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What are the unique types of player positions in the tryout?
[query_database(**{'query': 'SELECT count(DISTINCT pPos) FROM tryout'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question How many students got accepted after the tryout?
[query_database(**{'query': 'SELECT count(*) FROM tryout WHERE decision = 'yes''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question Find the max, average and min training hours of all players.
[query_database(**{'query': 'SELECT avg(HS) , max(HS) , min(HS) FROM Player'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What are the names of players whose training hours is between 500 and 1500?
[query_database(**{'query': 'SELECT pName FROM Player WHERE HS BETWEEN 500 AND 1500'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What are the names and enrollment numbers for colleges that have more than 10000 enrolled and are located in Louisiana?
[query_database(**{'query': 'SELECT cName , enr FROM College WHERE enr > 10000 AND state = "LA"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question List the name of the colleges whose enrollment is greater 18000 sorted by the college's name.
[query_database(**{'query': 'SELECT cName FROM College WHERE enr > 18000 ORDER BY cName'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question Which position is most popular among players in the tryout?
[query_database(**{'query': 'SELECT pPos FROM tryout GROUP BY pPos ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question How many students participated in tryouts for each college by descennding count?
[query_database(**{'query': 'SELECT count(*) , cName FROM tryout GROUP BY cName ORDER BY count(*) DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What are the names of the schools with the top 3 largest class sizes?
[query_database(**{'query': 'SELECT cName FROM college ORDER BY enr DESC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question Find the states where have some college students in tryout and their decisions are yes.
[query_database(**{'query': 'SELECT DISTINCT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.decision = 'yes''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question Find the name of all students who were in the tryout sorted in alphabetic order.
[query_database(**{'query': 'SELECT T1.pName FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID ORDER BY T1.pName'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question Find the name and hours of the students whose tryout decision is yes.
[query_database(**{'query': 'SELECT T1.pName , T1.HS FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T2.decision = 'yes''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question Find the names of the students who are in the position of striker and got a yes tryout decision.
[query_database(**{'query': 'SELECT T1.pName FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T2.decision = 'yes' AND T2.pPos = 'striker''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question Find the average and maximum hours for the students whose tryout decision is yes.
[query_database(**{'query': 'SELECT avg(T1.HS) , max(T1.HS) FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T2.decision = 'yes''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What is the maximum training hours for the students whose training hours is greater than 1000 in different positions?
[query_database(**{'query': 'SELECT max(T1.HS) , pPos FROM player AS T1 JOIN tryout AS T2 ON T1.pID = T2.pID WHERE T1.HS > 1000 GROUP BY T2.pPos'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question Which college has any student who is a goalie and succeeded in the tryout.
[query_database(**{'query': 'SELECT cName FROM tryout WHERE decision = 'yes' AND pPos = 'goalie''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What are the names of all tryout participants who are from the largest college?
[query_database(**{'query': 'SELECT T2.pName FROM tryout AS T1 JOIN player AS T2 ON T1.pID = T2.pID WHERE T1.cName = (SELECT cName FROM college ORDER BY enr DESC LIMIT 1)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What are the names of colleges in LA that have more than 15,000 students and of colleges in AZ with less than 13,000 students?
[query_database(**{'query': 'SELECT cName FROM College WHERE enr < 13000 AND state = "AZ" UNION SELECT cName FROM College WHERE enr > 15000 AND state = "LA"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What are the names of the states that have some college students playing in the positions of goalie and mid-field?
[query_database(**{'query': 'SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'goalie' INTERSECT SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'mid''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What are the names of the schools with some players in the mid position but no goalies?
[query_database(**{'query': 'SELECT cName FROM tryout WHERE pPos = 'mid' EXCEPT SELECT cName FROM tryout WHERE pPos = 'goalie''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What is the count of states with college students playing in the mid position but not as goalies?
[query_database(**{'query': 'SELECT COUNT(*) FROM (SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'mid' EXCEPT SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'goalie')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question Find names of colleges with enrollment greater than that of some (at least one) college in the FL state.
[query_database(**{'query': 'SELECT DISTINCT cName FROM college WHERE enr > (SELECT min(enr) FROM college WHERE state = 'FL')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */ ### Question What is the total number of enrollment of schools that do not have any goalie player?
[query_database(**{'query': 'SELECT sum(enr) FROM college WHERE cName NOT IN (SELECT cName FROM tryout WHERE pPos = "goalie")'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE College ( cName varchar(20) NOT NULL, state varchar(2), enr numeric(5,0), PRIMARY KEY (cName) ) /* 1 example row: SELECT * FROM college LIMIT 1; cName ||state || enr LSU || LA ||18000 */ CREATE TABLE Player ( pID numeric(5,0) NOT NULL, pName varchar(20), yCard varchar(3), HS numeric(5,0), PRIMARY KEY (pID) ) /* 1 example row: SELECT * FROM player LIMIT 1; pID || pName ||yCard || HS 10001 ||Andrew || no ||1200 */ CREATE TABLE Tryout ( pID numeric(5,0), cName varchar(20), pPos varchar(8), decision varchar(3), PRIMARY KEY (pID, cName), FOREIGN KEY (pID) REFERENCES Player(pID), FOREIGN KEY (cName) REFERENCES College(cName) ) /* 1 example row: SELECT * FROM tryout LIMIT 1; pID ||cName || pPos ||decision 10001 || LSU ||goalie || no */