Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
1
q_id
int64
0
9.43k
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listlengths
450
49.1k
attention_mask
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450
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450
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stringlengths
1.82k
193k
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stringlengths
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215 values
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question What is the name of the department with the most students enrolled?
[query_database(**{'query': 'SELECT T4.dept_name FROM CLASS AS T1 JOIN enroll AS T2 ON T1.class_code = T2.class_code JOIN course AS T3 ON T1.crs_code = T3.crs_code JOIN department AS T4 ON T3.dept_code = T4.dept_code GROUP BY T3.dept_code 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question What are the codes of all the courses that are located in room KLR209?
[query_database(**{'query': 'SELECT class_code FROM CLASS WHERE class_room = 'KLR209''})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question What are the first names and office locations for all professors sorted alphabetically by first name?
[query_database(**{'query': 'SELECT T2.emp_fname , T1.prof_office FROM professor AS T1 JOIN employee AS T2 ON T1.emp_num = T2.emp_num ORDER BY T2.emp_fname'})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question What is the first and last name of the youngest student with a GPA above 3, and what is their GPA?
[query_database(**{'query': 'SELECT stu_fname , stu_lname , stu_gpa FROM student WHERE stu_gpa > 3 ORDER BY stu_dob 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question What is the name of the department with the fewest professors?
[query_database(**{'query': 'SELECT T2.dept_name FROM professor AS T1 JOIN department AS T2 ON T1.dept_code = T2.dept_code GROUP BY T1.dept_code ORDER BY count(*) 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question What are the first names of all professors not teaching any classes?
[query_database(**{'query': 'SELECT emp_fname FROM employee WHERE emp_jobcode = 'PROF' EXCEPT SELECT T1.emp_fname FROM employee AS T1 JOIN CLASS AS T2 ON T1.emp_num = T2.prof_num'})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question What are the last name and office of all history professors?
[query_database(**{'query': 'SELECT T1.emp_lname , T2.prof_office FROM employee AS T1 JOIN professor AS T2 ON T1.emp_num = T2.emp_num JOIN department AS T3 ON T2.dept_code = T3.dept_code WHERE T3.dept_name = 'History''})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question What is the last name of the professor whose office is located in DRE 102, and when were they hired?
[query_database(**{'query': 'SELECT T1.emp_lname , T1.emp_hiredate FROM employee AS T1 JOIN professor AS T2 ON T1.emp_num = T2.emp_num WHERE T2.prof_office = 'DRE 102''})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question What are the description and credit of the course which the student whose last name is Smithson took?
[query_database(**{'query': 'SELECT T4.crs_description , T4.crs_credit FROM CLASS AS T1 JOIN enroll AS T2 ON T1.class_code = T2.class_code JOIN student AS T3 ON T3.stu_num = T2.stu_num JOIN course AS T4 ON T4.crs_code = T1.crs_code WHERE T3.stu_lname = 'Smithson''})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question How many professors who are from either Accounting or Biology department?
[query_database(**{'query': 'SELECT count(*) FROM professor AS T1 JOIN department AS T2 ON T1.dept_code = T2.dept_code WHERE T2.dept_name = 'Accounting' OR T2.dept_name = 'Biology''})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question Find the first name of student who is taking classes from accounting and Computer Info. Systems departments
[query_database(**{'query': 'SELECT T1.stu_fname FROM student AS T1 JOIN enroll AS T2 ON T1.stu_num = T2.stu_num JOIN CLASS AS T3 ON T2.class_code = T3.class_code JOIN course AS T4 ON T3.crs_code = T4.crs_code JOIN department AS T5 ON T5.dept_code = T4.dept_code WHERE T5.dept_name = 'Accounting' INTERSECT SELECT T1.stu_fname FROM student AS T1 JOIN enroll AS T2 ON T1.stu_num = T2.stu_num JOIN CLASS AS T3 ON T2.class_code = T3.class_code JOIN course AS T4 ON T3.crs_code = T4.crs_code JOIN department AS T5 ON T5.dept_code = T4.dept_code WHERE T5.dept_name = 'Computer Info. Systems''})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question What is the first name, gpa and phone number of the top 5 students with highest gpa?
[query_database(**{'query': 'SELECT stu_gpa , stu_phone , stu_fname FROM student ORDER BY stu_gpa DESC LIMIT 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question Find the first name and gpa of the students whose gpa is lower than the average gpa of all students.
[query_database(**{'query': 'SELECT stu_fname , stu_gpa FROM student WHERE stu_gpa < (SELECT avg(stu_gpa) FROM student)'})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question Find the name, address, number of students in the departments that have the top 3 highest number of students.
[query_database(**{'query': 'SELECT T2.dept_name , T2.dept_address , count(*) FROM student AS T1 JOIN department AS T2 ON T1.dept_code = T2.dept_code GROUP BY T1.dept_code ORDER BY count(*) DESC LIMIT 3'})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question Find the first names of all instructors who have taught some course and the course code.
[query_database(**{'query': 'SELECT T2.emp_fname , T1.crs_code FROM CLASS AS T1 JOIN employee AS T2 ON T1.prof_num = T2.emp_num'})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question Find the first names and offices of all instructors who have taught some course and also find the course description.
[query_database(**{'query': 'SELECT T2.emp_fname , T4.prof_office , T3.crs_description FROM CLASS AS T1 JOIN employee AS T2 ON T1.prof_num = T2.emp_num JOIN course AS T3 ON T1.crs_code = T3.crs_code JOIN professor AS T4 ON T2.emp_num = T4.emp_num'})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question Find names of all students who took some course and the course description.
[query_database(**{'query': 'SELECT T1.stu_fname , T1.stu_lname , T4.crs_description FROM student AS T1 JOIN enroll AS T2 ON T1.stu_num = T2.stu_num JOIN CLASS AS T3 ON T2.class_code = T3.class_code JOIN course AS T4 ON T3.crs_code = T4.crs_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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
3,321
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question Find the first names of all professors in the Accounting department who is teaching some course and the class room.
[query_database(**{'query': 'SELECT T2.emp_fname , T1.class_room FROM CLASS AS T1 JOIN employee AS T2 ON T1.prof_num = T2.emp_num JOIN professor AS T3 ON T2.emp_num = T3.emp_num JOIN department AS T4 ON T4.dept_code = T3.dept_code WHERE T4.dept_name = 'Accounting''})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question What is the last name of the student who got a grade A in the class with code 10018.
[query_database(**{'query': 'SELECT T1.stu_lname FROM student AS T1 JOIN enroll AS T2 ON T1.stu_num = T2.stu_num WHERE T2.enroll_grade = 'A' AND T2.class_code = 10018'})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question Find the first names of professors who are teaching more than one class.
[query_database(**{'query': 'SELECT T2.emp_fname FROM CLASS AS T1 JOIN employee AS T2 ON T1.prof_num = T2.emp_num GROUP BY T1.prof_num 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */ ### Question Find the name of department that offers the class whose description has the word "Statistics".
[query_database(**{'query': 'SELECT T2.dept_name FROM course AS T1 JOIN department AS T2 ON T1.dept_code = T2.dept_code WHERE T1.crs_description LIKE '%Statistics%''})]
### 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 CLASS ( CLASS_CODE varchar(5) PRIMARY KEY, CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int, FOREIGN KEY (CRS_CODE) REFERENCES COURSE(CRS_CODE) FOREIGN KEY (PROF_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM class LIMIT 1; CLASS_CODE ||CRS_CODE ||CLASS_SECTION || CLASS_TIME ||CLASS_ROOM ||PROF_NUM 10012 ||ACCT-211 || 1 ||MWF 8:00-8:50 a.m. || BUS311 || 105 */ CREATE TABLE COURSE ( CRS_CODE varchar(10) PRIMARY KEY, DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM course LIMIT 1; CRS_CODE ||DEPT_CODE ||CRS_DESCRIPTION ||CRS_CREDIT ACCT-211 || ACCT || Accounting I || 3.0 */ CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10) PRIMARY KEY, DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM) ) /* 1 example row: SELECT * FROM department LIMIT 1; DEPT_CODE || DEPT_NAME ||SCHOOL_CODE ||EMP_NUM || DEPT_ADDRESS ||DEPT_EXTENSION ACCT ||Accounting || BUS || 114 ||KLR 211, Box 52 || 3119 */ CREATE TABLE EMPLOYEE ( EMP_NUM int PRIMARY KEY, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) /* 1 example row: SELECT * FROM employee LIMIT 1; EMP_NUM ||EMP_LNAME ||EMP_FNAME ||EMP_INITIAL ||EMP_JOBCODE ||EMP_HIREDATE || EMP_DOB 100 || Worley || James || F || CUST || 1978-2-23 ||1950-6-12 */ CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50), FOREIGN KEY (CLASS_CODE) REFERENCES CLASS(CLASS_CODE) FOREIGN KEY (STU_NUM) REFERENCES STUDENT(STU_NUM) ) /* 1 example row: SELECT * FROM enroll LIMIT 1; CLASS_CODE ||STU_NUM ||ENROLL_GRADE 10014 || 321452 || C */ CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5), FOREIGN KEY (EMP_NUM) REFERENCES EMPLOYEE(EMP_NUM), FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM professor LIMIT 1; EMP_NUM ||DEPT_CODE ||PROF_OFFICE ||PROF_EXTENSION ||PROF_HIGH_DEGREE 103 || HIST || DRE 156 || 6783 || Ph.D. */ CREATE TABLE STUDENT ( STU_NUM int PRIMARY KEY, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int, FOREIGN KEY (DEPT_CODE) REFERENCES DEPARTMENT(DEPT_CODE) ) /* 1 example row: SELECT * FROM student LIMIT 1; STU_NUM ||STU_LNAME ||STU_FNAME ||STU_INIT || STU_DOB ||STU_HRS ||STU_CLASS ||STU_GPA ||STU_TRANSFER ||DEPT_CODE ||STU_PHONE ||PROF_NUM 321452 || Bowser || William || C ||1975-2-12 || 42 || So || 2.84 || 0 || BIOL || 2134 || 205 */
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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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */ ### Question How many clubs are there?
[query_database(**{'query': 'SELECT count(*) FROM club'})]
### 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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */
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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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */ ### Question What are the different regions of clubs in ascending alphabetical order?
[query_database(**{'query': 'SELECT DISTINCT Region FROM club ORDER BY Region 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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */
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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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */ ### Question What are the types and countries of competitions?
[query_database(**{'query': 'SELECT Competition_type , Country FROM competition'})]
### 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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */
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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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */ ### Question What are the maximum and minimum number of silver medals for clubs.
[query_database(**{'query': 'SELECT max(Silver) , min(Silver) FROM club_rank'})]
### 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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */
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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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */ ### Question List all club names in ascending order of start year.
[query_database(**{'query': 'SELECT name FROM club ORDER BY Start_year 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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */
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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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */ ### Question Please show the names and the players of clubs.
[query_database(**{'query': 'SELECT T1.name , T2.Player_id FROM club AS T1 JOIN player AS T2 ON T1.Club_ID = T2.Club_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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */
3,359
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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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */ ### Question What is the average points of players from club with name "AIB".
[query_database(**{'query': 'SELECT avg(T2.Points) FROM club AS T1 JOIN player AS T2 ON T1.Club_ID = T2.Club_ID WHERE T1.name = "AIB"'})]
### 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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */
3,363
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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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */ ### Question List the position of players with average number of points scored by players of that position bigger than 20.
[query_database(**{'query': 'SELECT POSITION FROM player GROUP BY name HAVING avg(Points) >= 20'})]
### 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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */
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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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */ ### Question List the most common type of competition.
[query_database(**{'query': 'SELECT Competition_type FROM competition GROUP BY Competition_type 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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */
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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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */ ### Question List the names of clubs that do not have any players.
[query_database(**{'query': 'SELECT name FROM CLub WHERE Club_ID NOT IN (SELECT Club_ID 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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */
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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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */ ### Question Show total points of all players.
[query_database(**{'query': 'SELECT sum(Points) 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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */
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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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */ ### Question what are the name of players who get more than the average points.
[query_database(**{'query': 'SELECT name FROM player WHERE points > (SELECT avg(points) 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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */
3,384
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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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */ ### Question what is the name of the country that participated in the most tournament competitions?
[query_database(**{'query': 'SELECT country FROM competition WHERE competition_type = 'Tournament' GROUP BY country 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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */
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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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */ ### Question What are the countries that have never participated in any friendly-type competitions?
[query_database(**{'query': 'SELECT country FROM competition EXCEPT SELECT country FROM competition WHERE competition_type = 'Friendly''})]
### 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 "club" ( "Club_ID" int, "name" text, "Region" text, "Start_year" text, PRIMARY KEY ("Club_ID") ) /* 1 example row: SELECT * FROM club LIMIT 1; Club_ID ||name ||Region ||Start_year 1 || AIB || USA || 2009 */ CREATE TABLE "club_rank" ( "Rank" real, "Club_ID" int, "Gold" real, "Silver" real, "Bronze" real, "Total" real, PRIMARY KEY ("Rank","Club_ID") FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM club_rank LIMIT 1; Rank ||Club_ID ||Gold ||Silver ||Bronze ||Total 1.0 || 2 ||11.0 || 11.0 || 9.0 || 31.0 */ CREATE TABLE "player" ( "Player_ID" int, "name" text, "Position" text, "Club_ID" int, "Apps" real, "Tries" real, "Goals" text, "Points" real, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Club_ID`) REFERENCES `club`(`Club_ID`) ) /* 1 example row: SELECT * FROM player LIMIT 1; Player_ID || name || Position ||Club_ID ||Apps ||Tries ||Goals ||Points 1 ||Michael Platt ||Full Back || 1 ||20.0 || 5.0 || 0 || 20.0 */ CREATE TABLE "competition" ( "Competition_ID" int, "Year" real, "Competition_type" text, "Country" text, PRIMARY KEY ("Competition_ID") ) /* 1 example row: SELECT * FROM competition LIMIT 1; Competition_ID || Year ||Competition_type ||Country 1 ||2006.0 || Friendly || Italy */ CREATE TABLE "competition_result" ( "Competition_ID" int, "Club_ID_1" int, "Club_ID_2" int, "Score" text, PRIMARY KEY ("Competition_ID","Club_ID_1","Club_ID_2"), FOREIGN KEY (`Club_ID_1`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Club_ID_2`) REFERENCES `club`(`Club_ID`), FOREIGN KEY (`Competition_ID`) REFERENCES `competition`(`Competition_ID`) ) /* 1 example row: SELECT * FROM competition_result LIMIT 1; Competition_ID ||Club_ID_1 ||Club_ID_2 ||Score 1 || 1 || 2 ||11:10 */
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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 "manufacturer" ( "Manufacturer_ID" int, "Open_Year" real, "Name" text, "Num_of_Factories" int, "Num_of_Shops" int, PRIMARY KEY ("Manufacturer_ID") ) /* 1 example row: SELECT * FROM manufacturer LIMIT 1; Manufacturer_ID ||Open_Year || Name ||Num_of_Factories ||Num_of_Shops 1 || 1980.0 ||Chevrolet House || 36 || 8 */ CREATE TABLE "furniture" ( "Furniture_ID" int, "Name" text, "Num_of_Component" int, "Market_Rate" real, PRIMARY KEY ("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture LIMIT 1; Furniture_ID || Name ||Num_of_Component ||Market_Rate 1 ||Billiard table || 14 || 52.5 */ CREATE TABLE "furniture_manufacte" ( "Manufacturer_ID" int, "Furniture_ID" int, "Price_in_Dollar" real, PRIMARY KEY ("Manufacturer_ID","Furniture_ID"), FOREIGN KEY ("Manufacturer_ID") REFERENCES `manufacturer`("Manufacturer_ID"), FOREIGN KEY ("Furniture_ID") REFERENCES `furniture`("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture_manufacte LIMIT 1; Manufacturer_ID ||Furniture_ID ||Price_in_Dollar 1 || 3 || 239.0 */ ### Question Find the component amounts and names of all furnitures that have more than 10 components.
[query_database(**{'query': 'SELECT Num_of_Component , name FROM furniture WHERE Num_of_Component > 10'})]
### 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 "manufacturer" ( "Manufacturer_ID" int, "Open_Year" real, "Name" text, "Num_of_Factories" int, "Num_of_Shops" int, PRIMARY KEY ("Manufacturer_ID") ) /* 1 example row: SELECT * FROM manufacturer LIMIT 1; Manufacturer_ID ||Open_Year || Name ||Num_of_Factories ||Num_of_Shops 1 || 1980.0 ||Chevrolet House || 36 || 8 */ CREATE TABLE "furniture" ( "Furniture_ID" int, "Name" text, "Num_of_Component" int, "Market_Rate" real, PRIMARY KEY ("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture LIMIT 1; Furniture_ID || Name ||Num_of_Component ||Market_Rate 1 ||Billiard table || 14 || 52.5 */ CREATE TABLE "furniture_manufacte" ( "Manufacturer_ID" int, "Furniture_ID" int, "Price_in_Dollar" real, PRIMARY KEY ("Manufacturer_ID","Furniture_ID"), FOREIGN KEY ("Manufacturer_ID") REFERENCES `manufacturer`("Manufacturer_ID"), FOREIGN KEY ("Furniture_ID") REFERENCES `furniture`("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture_manufacte LIMIT 1; Manufacturer_ID ||Furniture_ID ||Price_in_Dollar 1 || 3 || 239.0 */
3,395
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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 "manufacturer" ( "Manufacturer_ID" int, "Open_Year" real, "Name" text, "Num_of_Factories" int, "Num_of_Shops" int, PRIMARY KEY ("Manufacturer_ID") ) /* 1 example row: SELECT * FROM manufacturer LIMIT 1; Manufacturer_ID ||Open_Year || Name ||Num_of_Factories ||Num_of_Shops 1 || 1980.0 ||Chevrolet House || 36 || 8 */ CREATE TABLE "furniture" ( "Furniture_ID" int, "Name" text, "Num_of_Component" int, "Market_Rate" real, PRIMARY KEY ("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture LIMIT 1; Furniture_ID || Name ||Num_of_Component ||Market_Rate 1 ||Billiard table || 14 || 52.5 */ CREATE TABLE "furniture_manufacte" ( "Manufacturer_ID" int, "Furniture_ID" int, "Price_in_Dollar" real, PRIMARY KEY ("Manufacturer_ID","Furniture_ID"), FOREIGN KEY ("Manufacturer_ID") REFERENCES `manufacturer`("Manufacturer_ID"), FOREIGN KEY ("Furniture_ID") REFERENCES `furniture`("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture_manufacte LIMIT 1; Manufacturer_ID ||Furniture_ID ||Price_in_Dollar 1 || 3 || 239.0 */ ### Question Which manufacturer has the most number of shops? List its name and year of opening.
[query_database(**{'query': 'SELECT open_year , name FROM manufacturer ORDER BY num_of_shops 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 "manufacturer" ( "Manufacturer_ID" int, "Open_Year" real, "Name" text, "Num_of_Factories" int, "Num_of_Shops" int, PRIMARY KEY ("Manufacturer_ID") ) /* 1 example row: SELECT * FROM manufacturer LIMIT 1; Manufacturer_ID ||Open_Year || Name ||Num_of_Factories ||Num_of_Shops 1 || 1980.0 ||Chevrolet House || 36 || 8 */ CREATE TABLE "furniture" ( "Furniture_ID" int, "Name" text, "Num_of_Component" int, "Market_Rate" real, PRIMARY KEY ("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture LIMIT 1; Furniture_ID || Name ||Num_of_Component ||Market_Rate 1 ||Billiard table || 14 || 52.5 */ CREATE TABLE "furniture_manufacte" ( "Manufacturer_ID" int, "Furniture_ID" int, "Price_in_Dollar" real, PRIMARY KEY ("Manufacturer_ID","Furniture_ID"), FOREIGN KEY ("Manufacturer_ID") REFERENCES `manufacturer`("Manufacturer_ID"), FOREIGN KEY ("Furniture_ID") REFERENCES `furniture`("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture_manufacte LIMIT 1; Manufacturer_ID ||Furniture_ID ||Price_in_Dollar 1 || 3 || 239.0 */
3,398
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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 "manufacturer" ( "Manufacturer_ID" int, "Open_Year" real, "Name" text, "Num_of_Factories" int, "Num_of_Shops" int, PRIMARY KEY ("Manufacturer_ID") ) /* 1 example row: SELECT * FROM manufacturer LIMIT 1; Manufacturer_ID ||Open_Year || Name ||Num_of_Factories ||Num_of_Shops 1 || 1980.0 ||Chevrolet House || 36 || 8 */ CREATE TABLE "furniture" ( "Furniture_ID" int, "Name" text, "Num_of_Component" int, "Market_Rate" real, PRIMARY KEY ("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture LIMIT 1; Furniture_ID || Name ||Num_of_Component ||Market_Rate 1 ||Billiard table || 14 || 52.5 */ CREATE TABLE "furniture_manufacte" ( "Manufacturer_ID" int, "Furniture_ID" int, "Price_in_Dollar" real, PRIMARY KEY ("Manufacturer_ID","Furniture_ID"), FOREIGN KEY ("Manufacturer_ID") REFERENCES `manufacturer`("Manufacturer_ID"), FOREIGN KEY ("Furniture_ID") REFERENCES `furniture`("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture_manufacte LIMIT 1; Manufacturer_ID ||Furniture_ID ||Price_in_Dollar 1 || 3 || 239.0 */ ### Question Give me the name and year of opening of the manufacturers that have either less than 10 factories or more than 10 shops.
[query_database(**{'query': 'SELECT name , open_year FROM manufacturer WHERE num_of_shops > 10 OR Num_of_Factories < 10'})]
### 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 "manufacturer" ( "Manufacturer_ID" int, "Open_Year" real, "Name" text, "Num_of_Factories" int, "Num_of_Shops" int, PRIMARY KEY ("Manufacturer_ID") ) /* 1 example row: SELECT * FROM manufacturer LIMIT 1; Manufacturer_ID ||Open_Year || Name ||Num_of_Factories ||Num_of_Shops 1 || 1980.0 ||Chevrolet House || 36 || 8 */ CREATE TABLE "furniture" ( "Furniture_ID" int, "Name" text, "Num_of_Component" int, "Market_Rate" real, PRIMARY KEY ("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture LIMIT 1; Furniture_ID || Name ||Num_of_Component ||Market_Rate 1 ||Billiard table || 14 || 52.5 */ CREATE TABLE "furniture_manufacte" ( "Manufacturer_ID" int, "Furniture_ID" int, "Price_in_Dollar" real, PRIMARY KEY ("Manufacturer_ID","Furniture_ID"), FOREIGN KEY ("Manufacturer_ID") REFERENCES `manufacturer`("Manufacturer_ID"), FOREIGN KEY ("Furniture_ID") REFERENCES `furniture`("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture_manufacte LIMIT 1; Manufacturer_ID ||Furniture_ID ||Price_in_Dollar 1 || 3 || 239.0 */
3,402
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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 "manufacturer" ( "Manufacturer_ID" int, "Open_Year" real, "Name" text, "Num_of_Factories" int, "Num_of_Shops" int, PRIMARY KEY ("Manufacturer_ID") ) /* 1 example row: SELECT * FROM manufacturer LIMIT 1; Manufacturer_ID ||Open_Year || Name ||Num_of_Factories ||Num_of_Shops 1 || 1980.0 ||Chevrolet House || 36 || 8 */ CREATE TABLE "furniture" ( "Furniture_ID" int, "Name" text, "Num_of_Component" int, "Market_Rate" real, PRIMARY KEY ("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture LIMIT 1; Furniture_ID || Name ||Num_of_Component ||Market_Rate 1 ||Billiard table || 14 || 52.5 */ CREATE TABLE "furniture_manufacte" ( "Manufacturer_ID" int, "Furniture_ID" int, "Price_in_Dollar" real, PRIMARY KEY ("Manufacturer_ID","Furniture_ID"), FOREIGN KEY ("Manufacturer_ID") REFERENCES `manufacturer`("Manufacturer_ID"), FOREIGN KEY ("Furniture_ID") REFERENCES `furniture`("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture_manufacte LIMIT 1; Manufacturer_ID ||Furniture_ID ||Price_in_Dollar 1 || 3 || 239.0 */ ### Question Give me the names and prices of furnitures which some companies are manufacturing.
[query_database(**{'query': 'SELECT t1.name , t2.price_in_dollar FROM furniture AS t1 JOIN furniture_manufacte AS t2 ON t1.Furniture_ID = t2.Furniture_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 "manufacturer" ( "Manufacturer_ID" int, "Open_Year" real, "Name" text, "Num_of_Factories" int, "Num_of_Shops" int, PRIMARY KEY ("Manufacturer_ID") ) /* 1 example row: SELECT * FROM manufacturer LIMIT 1; Manufacturer_ID ||Open_Year || Name ||Num_of_Factories ||Num_of_Shops 1 || 1980.0 ||Chevrolet House || 36 || 8 */ CREATE TABLE "furniture" ( "Furniture_ID" int, "Name" text, "Num_of_Component" int, "Market_Rate" real, PRIMARY KEY ("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture LIMIT 1; Furniture_ID || Name ||Num_of_Component ||Market_Rate 1 ||Billiard table || 14 || 52.5 */ CREATE TABLE "furniture_manufacte" ( "Manufacturer_ID" int, "Furniture_ID" int, "Price_in_Dollar" real, PRIMARY KEY ("Manufacturer_ID","Furniture_ID"), FOREIGN KEY ("Manufacturer_ID") REFERENCES `manufacturer`("Manufacturer_ID"), FOREIGN KEY ("Furniture_ID") REFERENCES `furniture`("Furniture_ID") ) /* 1 example row: SELECT * FROM furniture_manufacte LIMIT 1; Manufacturer_ID ||Furniture_ID ||Price_in_Dollar 1 || 3 || 239.0 */
3,407
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question List the full name (first and last name), and salary for those employees who earn below 6000.
[query_database(**{'query': 'SELECT first_name , last_name , salary FROM employees WHERE salary < 6000'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,411
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question Return all the information for all employees without any department number.
[query_database(**{'query': 'SELECT * FROM employees WHERE department_id = "null"'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,414
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question What is all the information about the Marketing department?
[query_database(**{'query': 'SELECT * FROM departments WHERE department_name = 'Marketing''})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,418
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question What are the full name, hire date, salary, and department id for employees without the letter M in their first name?
[query_database(**{'query': 'SELECT first_name , last_name , hire_date , salary , department_id FROM employees WHERE first_name NOT LIKE '%M%''})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question what is the phone number of employees whose salary is in the range of 8000 and 12000?
[query_database(**{'query': 'SELECT phone_number FROM employees WHERE salary BETWEEN 8000 AND 12000'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,428
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question Return the full names and salaries for employees with first names that end with the letter m.
[query_database(**{'query': 'SELECT first_name , last_name , salary FROM employees WHERE first_name LIKE '%m''})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,432
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question What are the full names of employees who with in department 70 or 90?
[query_database(**{'query': 'SELECT first_name , last_name FROM employees WHERE department_id = 70 OR department_id = 90'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,436
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question What is all the information about employees hired before June 21, 2002?
[query_database(**{'query': 'SELECT * FROM employees WHERE hire_date < '2002-06-21''})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,440
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question Which employees were hired after September 7th, 1987?
[query_database(**{'query': 'SELECT * FROM employees WHERE hire_date > '1987-09-07''})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,444
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question What are the job titles, and range of salaries for jobs with maximum salary between 12000 and 18000?
[query_database(**{'query': 'SELECT job_title , max_salary - min_salary FROM jobs WHERE max_salary BETWEEN 12000 AND 18000'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,448
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question What are the employee ids for each employee and final dates of employment at their last job?
[query_database(**{'query': 'SELECT employee_id , MAX(end_date) FROM job_history GROUP BY employee_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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,452
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question What are department ids for departments with managers managing more than 3 employees?
[query_database(**{'query': 'SELECT DISTINCT department_id FROM employees GROUP BY department_id , manager_id HAVING COUNT(employee_id) >= 4'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,456
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question Give the country id and corresponding count of cities in each country.
[query_database(**{'query': 'SELECT country_id , COUNT(*) FROM locations GROUP BY country_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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,460
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question What are the employee ids for employees who have held two or more jobs?
[query_database(**{'query': 'SELECT employee_id FROM job_history GROUP BY employee_id HAVING COUNT(*) >= 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,464
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question Give the name of each department and the number of employees in each.
[query_database(**{'query': 'SELECT T2.department_name , COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id GROUP BY T2.department_name'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question What is the average salary for each job title?
[query_database(**{'query': 'SELECT job_title , AVG(salary) FROM employees AS T1 JOIN jobs AS T2 ON T1.job_id = T2.job_id GROUP BY T2.job_title'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,471
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question return the smallest salary for every departments.
[query_database(**{'query': 'SELECT MIN(salary) , department_id FROM employees GROUP BY department_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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,475
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question Find the employee id for all employees who earn more than the average salary.
[query_database(**{'query': 'SELECT employee_id FROM employees WHERE salary > (SELECT AVG(salary) FROM employees)'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,479
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question find the name of all departments that do actually have one or more employees assigned to them.
[query_database(**{'query': 'SELECT DISTINCT T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,483
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question display all the information about the department Marketing.
[query_database(**{'query': 'SELECT * FROM departments WHERE department_name = 'Marketing''})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,487
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question What are the unique ids of those departments where any manager is managing 4 or more employees.
[query_database(**{'query': 'SELECT DISTINCT department_id FROM employees GROUP BY department_id , manager_id HAVING COUNT(employee_id) >= 4'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,491
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question display the employee ID and job name for all those jobs in department 80.
[query_database(**{'query': 'SELECT T1.employee_id , T2.job_title FROM employees AS T1 JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.department_id = 80'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,495
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question display all the information of the employees whose salary if within the range of smallest salary and 2500.
[query_database(**{'query': 'SELECT * FROM employees WHERE salary BETWEEN (SELECT MIN(salary) FROM employees) AND 2500'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,499
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question display the employee name ( first name and last name ) and hire date for all employees in the same department as Clara.
[query_database(**{'query': 'SELECT first_name , last_name , hire_date FROM employees WHERE department_id = (SELECT department_id FROM employees WHERE first_name = "Clara")'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,503
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question display the employee number and name( first name and last name ) for all employees who work in a department with any employee whose name contains a ’T’.
[query_database(**{'query': 'SELECT employee_id , first_name , last_name FROM employees WHERE department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%T%' )'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,507
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question display the employee number and job id for all employees whose salary is smaller than any salary of those employees whose job title is MK_MAN.
[query_database(**{'query': 'SELECT employee_id , job_id FROM employees WHERE salary < ( SELECT min(salary) FROM employees WHERE job_id = 'MK_MAN' )'})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,511
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question display the department id and the total salary for those departments which contains at least two employees.
[query_database(**{'query': 'SELECT department_id , SUM(salary) FROM employees GROUP BY department_id HAVING count(*) >= 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,515
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question display the department ID, full name (first and last name), salary for those employees who is highest salary in every department.
[query_database(**{'query': 'SELECT first_name , last_name , salary , department_id , MAX(salary) FROM employees GROUP BY department_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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,519
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question display those employees who contain a letter z to their first name and also display their last name, city.
[query_database(**{'query': 'SELECT T1.first_name , T1.last_name , T3.city FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id WHERE T1.first_name LIKE '%z%''})]
### 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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,523
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question display the full name (first and last name ) of employee with ID and name of the country presently where (s)he is working.
[query_database(**{'query': 'SELECT T1.first_name , T1.last_name , T1.employee_id , T4.country_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id JOIN countries AS T4 ON T3.country_id = T4.country_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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,527
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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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */ ### Question display the full name (first and last name), and salary of those employees who working in any department located in London.
[query_database(**{'query': 'SELECT first_name , last_name , salary FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id WHERE T3.city = '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 `regions` ( `REGION_ID` decimal(5,0) NOT NULL, `REGION_NAME` varchar(25) DEFAULT NULL, PRIMARY KEY (`REGION_ID`) ) /* 1 example row: SELECT * FROM regions LIMIT 1; REGION_ID ||REGION_NAME 1 || Europe\r */ CREATE TABLE `countries` ( `COUNTRY_ID` varchar(2) NOT NULL, `COUNTRY_NAME` varchar(40) DEFAULT NULL, `REGION_ID` decimal(10,0) DEFAULT NULL, PRIMARY KEY (`COUNTRY_ID`), FOREIGN KEY (`REGION_ID`) REFERENCES regions (`REGION_ID`) ) /* 1 example row: SELECT * FROM countries LIMIT 1; COUNTRY_ID ||COUNTRY_NAME ||REGION_ID AR || Argentina || 2 */ CREATE TABLE `departments` ( `DEPARTMENT_ID` decimal(4,0) NOT NULL DEFAULT '0', `DEPARTMENT_NAME` varchar(30) NOT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `LOCATION_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`DEPARTMENT_ID`) ) /* 1 example row: SELECT * FROM departments LIMIT 1; DEPARTMENT_ID ||DEPARTMENT_NAME ||MANAGER_ID ||LOCATION_ID 10 || Administration || 200 || 1700 */ CREATE TABLE `jobs` ( `JOB_ID` varchar(10) NOT NULL DEFAULT '', `JOB_TITLE` varchar(35) NOT NULL, `MIN_SALARY` decimal(6,0) DEFAULT NULL, `MAX_SALARY` decimal(6,0) DEFAULT NULL, PRIMARY KEY (`JOB_ID`) ) /* 1 example row: SELECT * FROM jobs LIMIT 1; JOB_ID ||JOB_TITLE ||MIN_SALARY ||MAX_SALARY AD_PRES ||President || 20000 || 40000 */ CREATE TABLE `employees` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL DEFAULT '0', `FIRST_NAME` varchar(20) DEFAULT NULL, `LAST_NAME` varchar(25) NOT NULL, `EMAIL` varchar(25) NOT NULL, `PHONE_NUMBER` varchar(20) DEFAULT NULL, `HIRE_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `SALARY` decimal(8,2) DEFAULT NULL, `COMMISSION_PCT` decimal(2,2) DEFAULT NULL, `MANAGER_ID` decimal(6,0) DEFAULT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM employees LIMIT 1; EMPLOYEE_ID ||FIRST_NAME ||LAST_NAME ||EMAIL ||PHONE_NUMBER || HIRE_DATE || JOB_ID ||SALARY ||COMMISSION_PCT ||MANAGER_ID ||DEPARTMENT_ID 100 || Steven || King ||SKING ||515.123.4567 ||1987-06-17 ||AD_PRES || 24000 || 0 || 0 || 90 */ CREATE TABLE `job_history` ( `EMPLOYEE_ID` decimal(6,0) NOT NULL, `START_DATE` date NOT NULL, `END_DATE` date NOT NULL, `JOB_ID` varchar(10) NOT NULL, `DEPARTMENT_ID` decimal(4,0) DEFAULT NULL, PRIMARY KEY (`EMPLOYEE_ID`,`START_DATE`), FOREIGN KEY (`EMPLOYEE_ID`) REFERENCES employees(`EMPLOYEE_ID`), FOREIGN KEY (`DEPARTMENT_ID`) REFERENCES departments(`DEPARTMENT_ID`), FOREIGN KEY (`JOB_ID`) REFERENCES jobs(`JOB_ID`) ) /* 1 example row: SELECT * FROM job_history LIMIT 1; EMPLOYEE_ID ||START_DATE || END_DATE || JOB_ID ||DEPARTMENT_ID 102 ||1993-01-13 ||1998-07-24 ||IT_PROG || 60 */ CREATE TABLE `locations` ( `LOCATION_ID` decimal(4,0) NOT NULL DEFAULT '0', `STREET_ADDRESS` varchar(40) DEFAULT NULL, `POSTAL_CODE` varchar(12) DEFAULT NULL, `CITY` varchar(30) NOT NULL, `STATE_PROVINCE` varchar(25) DEFAULT NULL, `COUNTRY_ID` varchar(2) DEFAULT NULL, PRIMARY KEY (`LOCATION_ID`), FOREIGN KEY (`COUNTRY_ID`) REFERENCES countries(`COUNTRY_ID`) ) /* 1 example row: SELECT * FROM locations LIMIT 1; LOCATION_ID || STREET_ADDRESS ||POSTAL_CODE ||CITY ||STATE_PROVINCE ||COUNTRY_ID 1000 ||1297 Via Cola di Rie || 989 ||Roma || || IT */
3,531
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What is the id of the longest song?
[query_database(**{'query': 'SELECT f_id FROM files ORDER BY duration 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What are the id of all the files in mp3 format?
[query_database(**{'query': 'SELECT f_id FROM files WHERE formats = "mp3"'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What are the file sizes and formats for all songs with a resolution lower than 800?
[query_database(**{'query': 'SELECT DISTINCT T1.file_size , T1.formats FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T2.resolution < 800'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What are the names of the singers who sang the top 3 most highly rated songs and what countries do they hail from?
[query_database(**{'query': 'SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name ORDER BY T2.rating 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question How many Bangladeshi artists are listed?
[query_database(**{'query': 'SELECT count(*) FROM artist WHERE country = "Bangladesh"'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question Find the file format that is used by the most files.
[query_database(**{'query': 'SELECT formats FROM files GROUP BY formats 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What is the id of the files that are available in the format of mp4 and a resolution smaller than 1000?
[query_database(**{'query': 'SELECT f_id FROM files WHERE formats = "mp4" INTERSECT SELECT f_id FROM song WHERE resolution < 1000'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What is the average song duration for the songs that are in mp3 format and whose resolution below 800?
[query_database(**{'query': 'SELECT avg(T1.duration) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.formats = "mp3" AND T2.resolution < 800'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What is the average song rating for each language?
[query_database(**{'query': 'SELECT avg(rating) , languages FROM song GROUP BY languages'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question How many songs were released for each format?
[query_database(**{'query': 'SELECT count(*) , formats FROM files GROUP BY formats'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What are the names of the songs that have a lower rating than at least one blues song?
[query_database(**{'query': 'SELECT song_name FROM song WHERE rating < (SELECT max(rating) FROM song WHERE genre_is = "blues")'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What are the names and genders of all artists who released songs in the month of March?
[query_database(**{'query': 'SELECT T1.artist_name , T1.gender FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.releasedate LIKE "%Mar%"'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What are the names of all songs that are ordered by their resolution numbers?
[query_database(**{'query': 'SELECT song_name FROM song ORDER BY resolution'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What are the names of all songs that are approximately 4 minutes long or are in English?
[query_database(**{'query': 'SELECT T2.song_name FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.duration LIKE "4:%" UNION SELECT song_name FROM song WHERE languages = "english"'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What is the language that was used most often in songs with resolution above 500?
[query_database(**{'query': 'SELECT artist_name FROM song WHERE resolution > 500 GROUP BY languages 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question Find the names of songs whose genre is modern or language is English.
[query_database(**{'query': 'SELECT song_name FROM song WHERE genre_is = "modern" OR languages = "english"'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question Return the names of singers who are from UK and released an English song.
[query_database(**{'query': 'SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.languages = "english"'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What are the maximum and minimum resolution of songs whose duration is 3 minutes?
[query_database(**{'query': 'SELECT max(T2.resolution) , min(T2.resolution) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.duration LIKE "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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What are the shortest duration and lowest rating of songs grouped by genre and ordered by genre?
[query_database(**{'query': 'SELECT min(T1.duration) , min(T2.rating) , T2.genre_is FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id GROUP BY T2.genre_is ORDER BY T2.genre_is'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question Find the name and country of origin for all artists who have release at least one song of resolution above 900.
[query_database(**{'query': 'SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.resolution > 900 GROUP BY T2.artist_name 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question Find the country of origin for the artist who made the least number of songs?
[query_database(**{'query': 'SELECT T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name GROUP BY T2.artist_name ORDER BY count(*) 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question What is ids of the songs whose resolution is higher than the resolution of any songs with rating lower than 8?
[query_database(**{'query': 'SELECT f_id FROM song WHERE resolution > (SELECT max(resolution) FROM song WHERE rating < 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question Find the top 3 artists who have the largest number of songs works whose language is Bangla.
[query_database(**{'query': 'SELECT T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.languages = "bangla" GROUP BY T2.artist_name 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question List the duration, file size and format of songs whose genre is pop, ordered by title?
[query_database(**{'query': 'SELECT T1.duration , T1.file_size , T1.formats FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T2.genre_is = "pop" ORDER BY T2.song_name'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */ ### Question Find the names of the artists who are from Bangladesh and have never received rating higher than 7.
[query_database(**{'query': 'SELECT DISTINCT artist_name FROM artist WHERE country = "Bangladesh" EXCEPT SELECT DISTINCT artist_name FROM song WHERE rating > 7'})]
### 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 genre( g_name varchar2(20) not null, rating varchar2(10), most_popular_in varchar2(50), primary key(g_name) ) /* 1 example row: SELECT * FROM genre LIMIT 1; g_name ||rating ||most_popular_in tagore || 8 || Bangladesh */ CREATE TABLE artist( artist_name varchar2(50) not null, country varchar2(20), gender varchar2(20), preferred_genre varchar2(50), constraint a_name primary key(artist_name), foreign key(preferred_genre) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM artist LIMIT 1; artist_name ||country ||gender ||preferred_genre Shrikanta || India || Male || tagore */ CREATE TABLE files( f_id number(10) not null, artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20), primary key(f_id), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM files LIMIT 1; f_id ||artist_name ||file_size ||duration ||formats 1 || Shrikanta || 3.78 MB || 3:45 || mp4 */ CREATE TABLE song( song_name varchar2(50), artist_name varchar2(50), country varchar2(20), f_id number(10), genre_is varchar2(20), rating number(10) check(rating>0 and rating<11), languages varchar2(20), releasedate Date, resolution number(10) not null, constraint s_name primary key(song_name), foreign key(artist_name) references artist(artist_name) ON DELETE CASCADE, foreign key(f_id) references files(f_id) ON DELETE CASCADE, foreign key(genre_is) references genre(g_name) ON DELETE CASCADE ) /* 1 example row: SELECT * FROM song LIMIT 1; song_name ||artist_name ||country ||f_id ||genre_is ||rating ||languages ||releasedate ||resolution Tumi robe nirobe || Shrikanta || India || 1 || tagore || 8 || bangla ||28-AUG-2011 || 1080 */
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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 all_star ( player_id TEXT, year INTEGER, game_num INTEGER, game_id TEXT, team_id TEXT, league_id TEXT, gp NUMERIC, starting_pos NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM all_star LIMIT 1; player_id ||year ||game_num || game_id ||team_id ||league_id ||gp ||starting_pos gomezle01 ||1933 || 0 ||ALS193307060 || NYA || AL || 1 || 1 */ CREATE TABLE appearances ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, g_all NUMERIC, gs NUMERIC, g_batting INTEGER, g_defense NUMERIC, g_p INTEGER, g_c INTEGER, g_1b INTEGER, g_2b INTEGER, g_3b INTEGER, g_ss INTEGER, g_lf INTEGER, g_cf INTEGER, g_rf INTEGER, g_of INTEGER, g_dh NUMERIC, g_ph NUMERIC, g_pr NUMERIC, foreign key (team_id) references team(team_id), foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM appearances LIMIT 1; year ||team_id ||league_id ||player_id ||g_all ||gs ||g_batting ||g_defense ||g_p ||g_c ||g_1b ||g_2b ||g_3b ||g_ss ||g_lf ||g_cf ||g_rf ||g_of ||g_dh ||g_ph ||g_pr 1871 || BS1 || ||barnero01 || 31 || || 31 || 31 || 0 || 0 || 0 || 16 || 0 || 15 || 0 || 0 || 0 || 0 || || || */ CREATE TABLE manager_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM manager_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes larusto01 ||BBWAA Manager of the year ||1983 || AL || || */ CREATE TABLE player_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes bondto01 ||Pitching Triple Crown ||1877 || NL || || */ CREATE TABLE manager_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won INTEGER, points_max INTEGER, votes_first INTEGER) /* 1 example row: SELECT * FROM manager_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Mgr of the year ||1983 || AL ||altobjo01 || 7 || 28 || 7 */ CREATE TABLE player_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won NUMERIC, points_max INTEGER, votes_first NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Cy Young ||1956 || ML || fordwh01 || 1 || 16 || 1 */ CREATE TABLE batting ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, g INTEGER, ab NUMERIC, r NUMERIC, h NUMERIC, double NUMERIC, triple NUMERIC, hr NUMERIC, rbi NUMERIC, sb NUMERIC, cs NUMERIC, bb NUMERIC, so NUMERIC, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM batting LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp abercda01 ||1871 || 1 || TRO || ||1 || 4 ||0 ||0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || || || || || */ CREATE TABLE batting_postseason ( year INTEGER, round TEXT, player_id TEXT, team_id TEXT, league_id TEXT, g INTEGER, ab INTEGER, r INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, rbi INTEGER, sb INTEGER, cs NUMERIC, bb INTEGER, so INTEGER, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM batting_postseason LIMIT 1; year ||round ||player_id ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp 1884 || WS ||becanbu01 || NY4 || AA ||1 || 2 ||0 ||1 || 0 || 0 || 0 || 0 || 0 || || 0 || 0 || 0 || || || || */ CREATE TABLE player_college ( player_id TEXT, college_id TEXT, year INTEGER, foreign key (player_id) references player(player_id), foreign key (college_id) references college(college_id) ) /* 1 example row: SELECT * FROM player_college LIMIT 1; player_id ||college_id ||year aardsda01 || pennst ||2001 */ CREATE TABLE fielding ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po NUMERIC, a NUMERIC, e NUMERIC, dp NUMERIC, pb NUMERIC, wp NUMERIC, sb NUMERIC, cs NUMERIC, zr NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||pos ||g ||gs ||inn_outs ||po ||a ||e ||dp ||pb ||wp ||sb ||cs ||zr abercda01 ||1871 || 1 || TRO || || SS ||1 || || || 1 ||3 ||2 || 0 || || || || || */ CREATE TABLE fielding_outfield ( player_id TEXT, year INTEGER, stint INTEGER, glf NUMERIC, gcf NUMERIC, grf NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding_outfield LIMIT 1; player_id ||year ||stint ||glf ||gcf ||grf allisar01 ||1871 || 1 || 0 || 29 || 0 */ CREATE TABLE fielding_postseason ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, round TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po INTEGER, a INTEGER, e INTEGER, dp INTEGER, tp INTEGER, pb NUMERIC, sb NUMERIC, cs NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references player(team_id) ) /* 1 example row: SELECT * FROM fielding_postseason LIMIT 1; player_id ||year ||team_id ||league_id ||round ||pos ||g ||gs ||inn_outs ||po || a ||e ||dp ||tp ||pb ||sb ||cs colliji01 ||1903 || BOS || AL || WS || 3B ||8 || 8 || 213 || 9 ||18 ||1 || 1 || 0 || || || */ CREATE TABLE hall_of_fame ( player_id TEXT, yearid INTEGER, votedby TEXT, ballots NUMERIC, needed NUMERIC, votes NUMERIC, inducted TEXT, category TEXT, needed_note TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM hall_of_fame LIMIT 1; player_id ||yearid ||votedby ||ballots ||needed ||votes ||inducted ||category ||needed_note cobbty01 || 1936 || BBWAA || 226 || 170 || 222 || Y || Player || */ CREATE TABLE home_game ( year INTEGER, league_id TEXT, team_id TEXT, park_id TEXT, span_first TEXT, span_last TEXT, games INTEGER, openings INTEGER, attendance INTEGER, foreign key (team_id) references team(team_id), foreign key (park_id) references park(park_id) ) /* 1 example row: SELECT * FROM home_game LIMIT 1; year ||league_id ||team_id ||park_id ||span_first || span_last ||games ||openings ||attendance 1871 || || BS1 || BOS01 ||1871-05-16 ||1871-10-07 || 16 || 16 || 32600 */ CREATE TABLE manager ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, g INTEGER, w INTEGER, l INTEGER, rank NUMERIC, plyr_mgr TEXT, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager LIMIT 1; player_id ||year ||team_id ||league_id ||inseason || g || w || l ||rank ||plyr_mgr wrighha01 ||1871 || BS1 || || 1 ||31 ||20 ||10 || 3 || Y */ CREATE TABLE manager_half ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, half INTEGER, g INTEGER, w INTEGER, l INTEGER, rank INTEGER, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager_half LIMIT 1; player_id ||year ||team_id ||league_id ||inseason ||half || g || w || l ||rank hanlone01 ||1892 || BLN || NL || 3 || 1 ||56 ||17 ||39 || 12 */ CREATE TABLE player ( player_id TEXT, birth_year NUMERIC, birth_month NUMERIC, birth_day NUMERIC, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year NUMERIC, death_month NUMERIC, death_day NUMERIC, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight NUMERIC, height NUMERIC, bats TEXT, throws TEXT, debut TEXT, final_game TEXT, retro_id TEXT, bbref_id TEXT) /* 1 example row: SELECT * FROM player LIMIT 1; player_id ||birth_year ||birth_month ||birth_day ||birth_country ||birth_state ||birth_city ||death_year ||death_month ||death_day ||death_country ||death_state ||death_city ||name_first ||name_last || name_given ||weight ||height ||bats ||throws || debut ||final_game ||retro_id || bbref_id aardsda01 || 1981 || 12 || 27 || USA || CO || Denver || || || || || || || David || Aardsma ||David Allan || 220 || 75 || R || R ||2004-04-06 ||2015-08-23 ||aardd001 ||aardsda01 */ CREATE TABLE park ( park_id TEXT, park_name TEXT, park_alias TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM park LIMIT 1; park_id || park_name ||park_alias || city ||state ||country ALB01 ||Riverside Park || ||Albany || NY || US */ CREATE TABLE pitching ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts NUMERIC, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp NUMERIC, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk INTEGER, bfp NUMERIC, gf NUMERIC, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts || h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp bechtge01 ||1871 || 1 || PH1 || ||1 ||2 ||3 || 3 || 2 || 0 || 0 || 78 ||43 ||23 || 0 ||11 || 1 || ||7.96 || || || || 0 || || ||42 || || || */ CREATE TABLE pitching_postseason ( player_id TEXT, year INTEGER, round TEXT, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp TEXT, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk NUMERIC, bfp NUMERIC, gf INTEGER, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching_postseason LIMIT 1; player_id ||year ||round ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts ||h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp becanbu01 ||1884 || WS || NY4 || AA ||0 ||1 ||1 || 1 || 1 || 0 || 0 || 18 ||9 || 7 || 0 || 2 || 1 || ||10.5 || || || || || || 0 ||12 || || || */ CREATE TABLE salary ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, salary INTEGER) /* 1 example row: SELECT * FROM salary LIMIT 1; year ||team_id ||league_id ||player_id ||salary 1985 || ATL || NL ||barkele01 ||870000 */ CREATE TABLE college ( college_id TEXT, name_full TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM college LIMIT 1; college_id || name_full || city ||state ||country abilchrist ||Abilene Christian University ||Abilene || TX || USA */ CREATE TABLE postseason ( year INTEGER, round TEXT, team_id_winner TEXT, league_id_winner TEXT, team_id_loser TEXT, league_id_loser TEXT, wins INTEGER, losses INTEGER, ties INTEGER) /* 1 example row: SELECT * FROM postseason LIMIT 1; year ||round ||team_id_winner ||league_id_winner ||team_id_loser ||league_id_loser ||wins ||losses ||ties 1884 || WS || PRO || NL || NYP || AA || 3 || 0 || 0 */ CREATE TABLE team ( year INTEGER, league_id TEXT, team_id TEXT, franchise_id TEXT, div_id TEXT, rank INTEGER, g INTEGER, ghome NUMERIC, w INTEGER, l INTEGER, div_win TEXT, wc_win TEXT, lg_win TEXT, ws_win TEXT, r INTEGER, ab INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, bb INTEGER, so NUMERIC, sb NUMERIC, cs NUMERIC, hbp NUMERIC, sf NUMERIC, ra INTEGER, er INTEGER, era NUMERIC, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, ha INTEGER, hra INTEGER, bba INTEGER, soa INTEGER, e INTEGER, dp NUMERIC, fp NUMERIC, name TEXT, park TEXT, attendance NUMERIC, bpf INTEGER, ppf INTEGER, team_id_br TEXT, team_id_lahman45 TEXT, team_id_retro TEXT) /* 1 example row: SELECT * FROM team LIMIT 1; year ||league_id ||team_id ||franchise_id ||div_id ||rank || g ||ghome || w || l ||div_win ||wc_win ||lg_win ||ws_win || r || ab || h ||double ||triple ||hr ||bb ||so ||sb ||cs ||hbp ||sf || ra || er || era ||cg ||sho ||sv ||ipouts || ha ||hra ||bba ||soa || e ||dp || fp || name || park ||attendance ||bpf ||ppf ||team_id_br ||team_id_lahman45 ||team_id_retro 1871 || || BS1 || BNA || || 3 ||31 || ||20 ||10 || || || N || ||401 ||1372 ||426 || 70 || 37 || 3 ||60 ||19 ||73 || || || ||303 ||109 ||3.55 ||22 || 1 || 3 || 828 ||367 || 2 || 42 || 23 ||225 || ||0.83 ||Boston Red Stockings ||South End Grounds I || ||103 || 98 || BOS || BS1 || BS1 */ CREATE TABLE team_franchise ( franchise_id TEXT, franchise_name TEXT, active TEXT, na_assoc TEXT) /* 1 example row: SELECT * FROM team_franchise LIMIT 1; franchise_id || franchise_name ||active ||na_assoc ALT ||Altoona Mountain City || N || */ CREATE TABLE team_half ( year INTEGER, league_id TEXT, team_id TEXT, half INTEGER, div_id TEXT, div_win TEXT, rank INTEGER, g INTEGER, w INTEGER, l INTEGER) /* 1 example row: SELECT * FROM team_half LIMIT 1; year ||league_id ||team_id ||half ||div_id ||div_win ||rank || g || w || l 1981 || NL || ATL || 1 || W || N || 4 ||54 ||25 ||29 */ ### Question What is average salary of the players in the team named 'Boston Red Stockings' ?
[query_database(**{'query': 'SELECT avg(T1.salary) FROM salary AS T1 JOIN team AS T2 ON T1.team_id = T2.team_id_br WHERE T2.name = 'Boston Red Stockings''})]
### 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 all_star ( player_id TEXT, year INTEGER, game_num INTEGER, game_id TEXT, team_id TEXT, league_id TEXT, gp NUMERIC, starting_pos NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM all_star LIMIT 1; player_id ||year ||game_num || game_id ||team_id ||league_id ||gp ||starting_pos gomezle01 ||1933 || 0 ||ALS193307060 || NYA || AL || 1 || 1 */ CREATE TABLE appearances ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, g_all NUMERIC, gs NUMERIC, g_batting INTEGER, g_defense NUMERIC, g_p INTEGER, g_c INTEGER, g_1b INTEGER, g_2b INTEGER, g_3b INTEGER, g_ss INTEGER, g_lf INTEGER, g_cf INTEGER, g_rf INTEGER, g_of INTEGER, g_dh NUMERIC, g_ph NUMERIC, g_pr NUMERIC, foreign key (team_id) references team(team_id), foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM appearances LIMIT 1; year ||team_id ||league_id ||player_id ||g_all ||gs ||g_batting ||g_defense ||g_p ||g_c ||g_1b ||g_2b ||g_3b ||g_ss ||g_lf ||g_cf ||g_rf ||g_of ||g_dh ||g_ph ||g_pr 1871 || BS1 || ||barnero01 || 31 || || 31 || 31 || 0 || 0 || 0 || 16 || 0 || 15 || 0 || 0 || 0 || 0 || || || */ CREATE TABLE manager_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM manager_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes larusto01 ||BBWAA Manager of the year ||1983 || AL || || */ CREATE TABLE player_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes bondto01 ||Pitching Triple Crown ||1877 || NL || || */ CREATE TABLE manager_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won INTEGER, points_max INTEGER, votes_first INTEGER) /* 1 example row: SELECT * FROM manager_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Mgr of the year ||1983 || AL ||altobjo01 || 7 || 28 || 7 */ CREATE TABLE player_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won NUMERIC, points_max INTEGER, votes_first NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Cy Young ||1956 || ML || fordwh01 || 1 || 16 || 1 */ CREATE TABLE batting ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, g INTEGER, ab NUMERIC, r NUMERIC, h NUMERIC, double NUMERIC, triple NUMERIC, hr NUMERIC, rbi NUMERIC, sb NUMERIC, cs NUMERIC, bb NUMERIC, so NUMERIC, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM batting LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp abercda01 ||1871 || 1 || TRO || ||1 || 4 ||0 ||0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || || || || || */ CREATE TABLE batting_postseason ( year INTEGER, round TEXT, player_id TEXT, team_id TEXT, league_id TEXT, g INTEGER, ab INTEGER, r INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, rbi INTEGER, sb INTEGER, cs NUMERIC, bb INTEGER, so INTEGER, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM batting_postseason LIMIT 1; year ||round ||player_id ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp 1884 || WS ||becanbu01 || NY4 || AA ||1 || 2 ||0 ||1 || 0 || 0 || 0 || 0 || 0 || || 0 || 0 || 0 || || || || */ CREATE TABLE player_college ( player_id TEXT, college_id TEXT, year INTEGER, foreign key (player_id) references player(player_id), foreign key (college_id) references college(college_id) ) /* 1 example row: SELECT * FROM player_college LIMIT 1; player_id ||college_id ||year aardsda01 || pennst ||2001 */ CREATE TABLE fielding ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po NUMERIC, a NUMERIC, e NUMERIC, dp NUMERIC, pb NUMERIC, wp NUMERIC, sb NUMERIC, cs NUMERIC, zr NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||pos ||g ||gs ||inn_outs ||po ||a ||e ||dp ||pb ||wp ||sb ||cs ||zr abercda01 ||1871 || 1 || TRO || || SS ||1 || || || 1 ||3 ||2 || 0 || || || || || */ CREATE TABLE fielding_outfield ( player_id TEXT, year INTEGER, stint INTEGER, glf NUMERIC, gcf NUMERIC, grf NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding_outfield LIMIT 1; player_id ||year ||stint ||glf ||gcf ||grf allisar01 ||1871 || 1 || 0 || 29 || 0 */ CREATE TABLE fielding_postseason ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, round TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po INTEGER, a INTEGER, e INTEGER, dp INTEGER, tp INTEGER, pb NUMERIC, sb NUMERIC, cs NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references player(team_id) ) /* 1 example row: SELECT * FROM fielding_postseason LIMIT 1; player_id ||year ||team_id ||league_id ||round ||pos ||g ||gs ||inn_outs ||po || a ||e ||dp ||tp ||pb ||sb ||cs colliji01 ||1903 || BOS || AL || WS || 3B ||8 || 8 || 213 || 9 ||18 ||1 || 1 || 0 || || || */ CREATE TABLE hall_of_fame ( player_id TEXT, yearid INTEGER, votedby TEXT, ballots NUMERIC, needed NUMERIC, votes NUMERIC, inducted TEXT, category TEXT, needed_note TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM hall_of_fame LIMIT 1; player_id ||yearid ||votedby ||ballots ||needed ||votes ||inducted ||category ||needed_note cobbty01 || 1936 || BBWAA || 226 || 170 || 222 || Y || Player || */ CREATE TABLE home_game ( year INTEGER, league_id TEXT, team_id TEXT, park_id TEXT, span_first TEXT, span_last TEXT, games INTEGER, openings INTEGER, attendance INTEGER, foreign key (team_id) references team(team_id), foreign key (park_id) references park(park_id) ) /* 1 example row: SELECT * FROM home_game LIMIT 1; year ||league_id ||team_id ||park_id ||span_first || span_last ||games ||openings ||attendance 1871 || || BS1 || BOS01 ||1871-05-16 ||1871-10-07 || 16 || 16 || 32600 */ CREATE TABLE manager ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, g INTEGER, w INTEGER, l INTEGER, rank NUMERIC, plyr_mgr TEXT, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager LIMIT 1; player_id ||year ||team_id ||league_id ||inseason || g || w || l ||rank ||plyr_mgr wrighha01 ||1871 || BS1 || || 1 ||31 ||20 ||10 || 3 || Y */ CREATE TABLE manager_half ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, half INTEGER, g INTEGER, w INTEGER, l INTEGER, rank INTEGER, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager_half LIMIT 1; player_id ||year ||team_id ||league_id ||inseason ||half || g || w || l ||rank hanlone01 ||1892 || BLN || NL || 3 || 1 ||56 ||17 ||39 || 12 */ CREATE TABLE player ( player_id TEXT, birth_year NUMERIC, birth_month NUMERIC, birth_day NUMERIC, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year NUMERIC, death_month NUMERIC, death_day NUMERIC, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight NUMERIC, height NUMERIC, bats TEXT, throws TEXT, debut TEXT, final_game TEXT, retro_id TEXT, bbref_id TEXT) /* 1 example row: SELECT * FROM player LIMIT 1; player_id ||birth_year ||birth_month ||birth_day ||birth_country ||birth_state ||birth_city ||death_year ||death_month ||death_day ||death_country ||death_state ||death_city ||name_first ||name_last || name_given ||weight ||height ||bats ||throws || debut ||final_game ||retro_id || bbref_id aardsda01 || 1981 || 12 || 27 || USA || CO || Denver || || || || || || || David || Aardsma ||David Allan || 220 || 75 || R || R ||2004-04-06 ||2015-08-23 ||aardd001 ||aardsda01 */ CREATE TABLE park ( park_id TEXT, park_name TEXT, park_alias TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM park LIMIT 1; park_id || park_name ||park_alias || city ||state ||country ALB01 ||Riverside Park || ||Albany || NY || US */ CREATE TABLE pitching ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts NUMERIC, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp NUMERIC, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk INTEGER, bfp NUMERIC, gf NUMERIC, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts || h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp bechtge01 ||1871 || 1 || PH1 || ||1 ||2 ||3 || 3 || 2 || 0 || 0 || 78 ||43 ||23 || 0 ||11 || 1 || ||7.96 || || || || 0 || || ||42 || || || */ CREATE TABLE pitching_postseason ( player_id TEXT, year INTEGER, round TEXT, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp TEXT, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk NUMERIC, bfp NUMERIC, gf INTEGER, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching_postseason LIMIT 1; player_id ||year ||round ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts ||h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp becanbu01 ||1884 || WS || NY4 || AA ||0 ||1 ||1 || 1 || 1 || 0 || 0 || 18 ||9 || 7 || 0 || 2 || 1 || ||10.5 || || || || || || 0 ||12 || || || */ CREATE TABLE salary ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, salary INTEGER) /* 1 example row: SELECT * FROM salary LIMIT 1; year ||team_id ||league_id ||player_id ||salary 1985 || ATL || NL ||barkele01 ||870000 */ CREATE TABLE college ( college_id TEXT, name_full TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM college LIMIT 1; college_id || name_full || city ||state ||country abilchrist ||Abilene Christian University ||Abilene || TX || USA */ CREATE TABLE postseason ( year INTEGER, round TEXT, team_id_winner TEXT, league_id_winner TEXT, team_id_loser TEXT, league_id_loser TEXT, wins INTEGER, losses INTEGER, ties INTEGER) /* 1 example row: SELECT * FROM postseason LIMIT 1; year ||round ||team_id_winner ||league_id_winner ||team_id_loser ||league_id_loser ||wins ||losses ||ties 1884 || WS || PRO || NL || NYP || AA || 3 || 0 || 0 */ CREATE TABLE team ( year INTEGER, league_id TEXT, team_id TEXT, franchise_id TEXT, div_id TEXT, rank INTEGER, g INTEGER, ghome NUMERIC, w INTEGER, l INTEGER, div_win TEXT, wc_win TEXT, lg_win TEXT, ws_win TEXT, r INTEGER, ab INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, bb INTEGER, so NUMERIC, sb NUMERIC, cs NUMERIC, hbp NUMERIC, sf NUMERIC, ra INTEGER, er INTEGER, era NUMERIC, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, ha INTEGER, hra INTEGER, bba INTEGER, soa INTEGER, e INTEGER, dp NUMERIC, fp NUMERIC, name TEXT, park TEXT, attendance NUMERIC, bpf INTEGER, ppf INTEGER, team_id_br TEXT, team_id_lahman45 TEXT, team_id_retro TEXT) /* 1 example row: SELECT * FROM team LIMIT 1; year ||league_id ||team_id ||franchise_id ||div_id ||rank || g ||ghome || w || l ||div_win ||wc_win ||lg_win ||ws_win || r || ab || h ||double ||triple ||hr ||bb ||so ||sb ||cs ||hbp ||sf || ra || er || era ||cg ||sho ||sv ||ipouts || ha ||hra ||bba ||soa || e ||dp || fp || name || park ||attendance ||bpf ||ppf ||team_id_br ||team_id_lahman45 ||team_id_retro 1871 || || BS1 || BNA || || 3 ||31 || ||20 ||10 || || || N || ||401 ||1372 ||426 || 70 || 37 || 3 ||60 ||19 ||73 || || || ||303 ||109 ||3.55 ||22 || 1 || 3 || 828 ||367 || 2 || 42 || 23 ||225 || ||0.83 ||Boston Red Stockings ||South End Grounds I || ||103 || 98 || BOS || BS1 || BS1 */ CREATE TABLE team_franchise ( franchise_id TEXT, franchise_name TEXT, active TEXT, na_assoc TEXT) /* 1 example row: SELECT * FROM team_franchise LIMIT 1; franchise_id || franchise_name ||active ||na_assoc ALT ||Altoona Mountain City || N || */ CREATE TABLE team_half ( year INTEGER, league_id TEXT, team_id TEXT, half INTEGER, div_id TEXT, div_win TEXT, rank INTEGER, g INTEGER, w INTEGER, l INTEGER) /* 1 example row: SELECT * FROM team_half LIMIT 1; year ||league_id ||team_id ||half ||div_id ||div_win ||rank || g || w || l 1981 || NL || ATL || 1 || W || N || 4 ||54 ||25 ||29 */
3,635
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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 all_star ( player_id TEXT, year INTEGER, game_num INTEGER, game_id TEXT, team_id TEXT, league_id TEXT, gp NUMERIC, starting_pos NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM all_star LIMIT 1; player_id ||year ||game_num || game_id ||team_id ||league_id ||gp ||starting_pos gomezle01 ||1933 || 0 ||ALS193307060 || NYA || AL || 1 || 1 */ CREATE TABLE appearances ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, g_all NUMERIC, gs NUMERIC, g_batting INTEGER, g_defense NUMERIC, g_p INTEGER, g_c INTEGER, g_1b INTEGER, g_2b INTEGER, g_3b INTEGER, g_ss INTEGER, g_lf INTEGER, g_cf INTEGER, g_rf INTEGER, g_of INTEGER, g_dh NUMERIC, g_ph NUMERIC, g_pr NUMERIC, foreign key (team_id) references team(team_id), foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM appearances LIMIT 1; year ||team_id ||league_id ||player_id ||g_all ||gs ||g_batting ||g_defense ||g_p ||g_c ||g_1b ||g_2b ||g_3b ||g_ss ||g_lf ||g_cf ||g_rf ||g_of ||g_dh ||g_ph ||g_pr 1871 || BS1 || ||barnero01 || 31 || || 31 || 31 || 0 || 0 || 0 || 16 || 0 || 15 || 0 || 0 || 0 || 0 || || || */ CREATE TABLE manager_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM manager_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes larusto01 ||BBWAA Manager of the year ||1983 || AL || || */ CREATE TABLE player_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes bondto01 ||Pitching Triple Crown ||1877 || NL || || */ CREATE TABLE manager_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won INTEGER, points_max INTEGER, votes_first INTEGER) /* 1 example row: SELECT * FROM manager_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Mgr of the year ||1983 || AL ||altobjo01 || 7 || 28 || 7 */ CREATE TABLE player_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won NUMERIC, points_max INTEGER, votes_first NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Cy Young ||1956 || ML || fordwh01 || 1 || 16 || 1 */ CREATE TABLE batting ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, g INTEGER, ab NUMERIC, r NUMERIC, h NUMERIC, double NUMERIC, triple NUMERIC, hr NUMERIC, rbi NUMERIC, sb NUMERIC, cs NUMERIC, bb NUMERIC, so NUMERIC, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM batting LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp abercda01 ||1871 || 1 || TRO || ||1 || 4 ||0 ||0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || || || || || */ CREATE TABLE batting_postseason ( year INTEGER, round TEXT, player_id TEXT, team_id TEXT, league_id TEXT, g INTEGER, ab INTEGER, r INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, rbi INTEGER, sb INTEGER, cs NUMERIC, bb INTEGER, so INTEGER, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM batting_postseason LIMIT 1; year ||round ||player_id ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp 1884 || WS ||becanbu01 || NY4 || AA ||1 || 2 ||0 ||1 || 0 || 0 || 0 || 0 || 0 || || 0 || 0 || 0 || || || || */ CREATE TABLE player_college ( player_id TEXT, college_id TEXT, year INTEGER, foreign key (player_id) references player(player_id), foreign key (college_id) references college(college_id) ) /* 1 example row: SELECT * FROM player_college LIMIT 1; player_id ||college_id ||year aardsda01 || pennst ||2001 */ CREATE TABLE fielding ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po NUMERIC, a NUMERIC, e NUMERIC, dp NUMERIC, pb NUMERIC, wp NUMERIC, sb NUMERIC, cs NUMERIC, zr NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||pos ||g ||gs ||inn_outs ||po ||a ||e ||dp ||pb ||wp ||sb ||cs ||zr abercda01 ||1871 || 1 || TRO || || SS ||1 || || || 1 ||3 ||2 || 0 || || || || || */ CREATE TABLE fielding_outfield ( player_id TEXT, year INTEGER, stint INTEGER, glf NUMERIC, gcf NUMERIC, grf NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding_outfield LIMIT 1; player_id ||year ||stint ||glf ||gcf ||grf allisar01 ||1871 || 1 || 0 || 29 || 0 */ CREATE TABLE fielding_postseason ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, round TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po INTEGER, a INTEGER, e INTEGER, dp INTEGER, tp INTEGER, pb NUMERIC, sb NUMERIC, cs NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references player(team_id) ) /* 1 example row: SELECT * FROM fielding_postseason LIMIT 1; player_id ||year ||team_id ||league_id ||round ||pos ||g ||gs ||inn_outs ||po || a ||e ||dp ||tp ||pb ||sb ||cs colliji01 ||1903 || BOS || AL || WS || 3B ||8 || 8 || 213 || 9 ||18 ||1 || 1 || 0 || || || */ CREATE TABLE hall_of_fame ( player_id TEXT, yearid INTEGER, votedby TEXT, ballots NUMERIC, needed NUMERIC, votes NUMERIC, inducted TEXT, category TEXT, needed_note TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM hall_of_fame LIMIT 1; player_id ||yearid ||votedby ||ballots ||needed ||votes ||inducted ||category ||needed_note cobbty01 || 1936 || BBWAA || 226 || 170 || 222 || Y || Player || */ CREATE TABLE home_game ( year INTEGER, league_id TEXT, team_id TEXT, park_id TEXT, span_first TEXT, span_last TEXT, games INTEGER, openings INTEGER, attendance INTEGER, foreign key (team_id) references team(team_id), foreign key (park_id) references park(park_id) ) /* 1 example row: SELECT * FROM home_game LIMIT 1; year ||league_id ||team_id ||park_id ||span_first || span_last ||games ||openings ||attendance 1871 || || BS1 || BOS01 ||1871-05-16 ||1871-10-07 || 16 || 16 || 32600 */ CREATE TABLE manager ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, g INTEGER, w INTEGER, l INTEGER, rank NUMERIC, plyr_mgr TEXT, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager LIMIT 1; player_id ||year ||team_id ||league_id ||inseason || g || w || l ||rank ||plyr_mgr wrighha01 ||1871 || BS1 || || 1 ||31 ||20 ||10 || 3 || Y */ CREATE TABLE manager_half ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, half INTEGER, g INTEGER, w INTEGER, l INTEGER, rank INTEGER, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager_half LIMIT 1; player_id ||year ||team_id ||league_id ||inseason ||half || g || w || l ||rank hanlone01 ||1892 || BLN || NL || 3 || 1 ||56 ||17 ||39 || 12 */ CREATE TABLE player ( player_id TEXT, birth_year NUMERIC, birth_month NUMERIC, birth_day NUMERIC, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year NUMERIC, death_month NUMERIC, death_day NUMERIC, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight NUMERIC, height NUMERIC, bats TEXT, throws TEXT, debut TEXT, final_game TEXT, retro_id TEXT, bbref_id TEXT) /* 1 example row: SELECT * FROM player LIMIT 1; player_id ||birth_year ||birth_month ||birth_day ||birth_country ||birth_state ||birth_city ||death_year ||death_month ||death_day ||death_country ||death_state ||death_city ||name_first ||name_last || name_given ||weight ||height ||bats ||throws || debut ||final_game ||retro_id || bbref_id aardsda01 || 1981 || 12 || 27 || USA || CO || Denver || || || || || || || David || Aardsma ||David Allan || 220 || 75 || R || R ||2004-04-06 ||2015-08-23 ||aardd001 ||aardsda01 */ CREATE TABLE park ( park_id TEXT, park_name TEXT, park_alias TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM park LIMIT 1; park_id || park_name ||park_alias || city ||state ||country ALB01 ||Riverside Park || ||Albany || NY || US */ CREATE TABLE pitching ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts NUMERIC, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp NUMERIC, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk INTEGER, bfp NUMERIC, gf NUMERIC, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts || h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp bechtge01 ||1871 || 1 || PH1 || ||1 ||2 ||3 || 3 || 2 || 0 || 0 || 78 ||43 ||23 || 0 ||11 || 1 || ||7.96 || || || || 0 || || ||42 || || || */ CREATE TABLE pitching_postseason ( player_id TEXT, year INTEGER, round TEXT, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp TEXT, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk NUMERIC, bfp NUMERIC, gf INTEGER, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching_postseason LIMIT 1; player_id ||year ||round ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts ||h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp becanbu01 ||1884 || WS || NY4 || AA ||0 ||1 ||1 || 1 || 1 || 0 || 0 || 18 ||9 || 7 || 0 || 2 || 1 || ||10.5 || || || || || || 0 ||12 || || || */ CREATE TABLE salary ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, salary INTEGER) /* 1 example row: SELECT * FROM salary LIMIT 1; year ||team_id ||league_id ||player_id ||salary 1985 || ATL || NL ||barkele01 ||870000 */ CREATE TABLE college ( college_id TEXT, name_full TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM college LIMIT 1; college_id || name_full || city ||state ||country abilchrist ||Abilene Christian University ||Abilene || TX || USA */ CREATE TABLE postseason ( year INTEGER, round TEXT, team_id_winner TEXT, league_id_winner TEXT, team_id_loser TEXT, league_id_loser TEXT, wins INTEGER, losses INTEGER, ties INTEGER) /* 1 example row: SELECT * FROM postseason LIMIT 1; year ||round ||team_id_winner ||league_id_winner ||team_id_loser ||league_id_loser ||wins ||losses ||ties 1884 || WS || PRO || NL || NYP || AA || 3 || 0 || 0 */ CREATE TABLE team ( year INTEGER, league_id TEXT, team_id TEXT, franchise_id TEXT, div_id TEXT, rank INTEGER, g INTEGER, ghome NUMERIC, w INTEGER, l INTEGER, div_win TEXT, wc_win TEXT, lg_win TEXT, ws_win TEXT, r INTEGER, ab INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, bb INTEGER, so NUMERIC, sb NUMERIC, cs NUMERIC, hbp NUMERIC, sf NUMERIC, ra INTEGER, er INTEGER, era NUMERIC, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, ha INTEGER, hra INTEGER, bba INTEGER, soa INTEGER, e INTEGER, dp NUMERIC, fp NUMERIC, name TEXT, park TEXT, attendance NUMERIC, bpf INTEGER, ppf INTEGER, team_id_br TEXT, team_id_lahman45 TEXT, team_id_retro TEXT) /* 1 example row: SELECT * FROM team LIMIT 1; year ||league_id ||team_id ||franchise_id ||div_id ||rank || g ||ghome || w || l ||div_win ||wc_win ||lg_win ||ws_win || r || ab || h ||double ||triple ||hr ||bb ||so ||sb ||cs ||hbp ||sf || ra || er || era ||cg ||sho ||sv ||ipouts || ha ||hra ||bba ||soa || e ||dp || fp || name || park ||attendance ||bpf ||ppf ||team_id_br ||team_id_lahman45 ||team_id_retro 1871 || || BS1 || BNA || || 3 ||31 || ||20 ||10 || || || N || ||401 ||1372 ||426 || 70 || 37 || 3 ||60 ||19 ||73 || || || ||303 ||109 ||3.55 ||22 || 1 || 3 || 828 ||367 || 2 || 42 || 23 ||225 || ||0.83 ||Boston Red Stockings ||South End Grounds I || ||103 || 98 || BOS || BS1 || BS1 */ CREATE TABLE team_franchise ( franchise_id TEXT, franchise_name TEXT, active TEXT, na_assoc TEXT) /* 1 example row: SELECT * FROM team_franchise LIMIT 1; franchise_id || franchise_name ||active ||na_assoc ALT ||Altoona Mountain City || N || */ CREATE TABLE team_half ( year INTEGER, league_id TEXT, team_id TEXT, half INTEGER, div_id TEXT, div_win TEXT, rank INTEGER, g INTEGER, w INTEGER, l INTEGER) /* 1 example row: SELECT * FROM team_half LIMIT 1; year ||league_id ||team_id ||half ||div_id ||div_win ||rank || g || w || l 1981 || NL || ATL || 1 || W || N || 4 ||54 ||25 ||29 */ ### Question What are the first name, last name and id of the player with the most all star game experiences? Also list the count.
[query_database(**{'query': 'SELECT T1.name_first , T1.name_last , T1.player_id , count(*) FROM player AS T1 JOIN all_star AS T2 ON T1.player_id = T2.player_id GROUP BY T1.player_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 all_star ( player_id TEXT, year INTEGER, game_num INTEGER, game_id TEXT, team_id TEXT, league_id TEXT, gp NUMERIC, starting_pos NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM all_star LIMIT 1; player_id ||year ||game_num || game_id ||team_id ||league_id ||gp ||starting_pos gomezle01 ||1933 || 0 ||ALS193307060 || NYA || AL || 1 || 1 */ CREATE TABLE appearances ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, g_all NUMERIC, gs NUMERIC, g_batting INTEGER, g_defense NUMERIC, g_p INTEGER, g_c INTEGER, g_1b INTEGER, g_2b INTEGER, g_3b INTEGER, g_ss INTEGER, g_lf INTEGER, g_cf INTEGER, g_rf INTEGER, g_of INTEGER, g_dh NUMERIC, g_ph NUMERIC, g_pr NUMERIC, foreign key (team_id) references team(team_id), foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM appearances LIMIT 1; year ||team_id ||league_id ||player_id ||g_all ||gs ||g_batting ||g_defense ||g_p ||g_c ||g_1b ||g_2b ||g_3b ||g_ss ||g_lf ||g_cf ||g_rf ||g_of ||g_dh ||g_ph ||g_pr 1871 || BS1 || ||barnero01 || 31 || || 31 || 31 || 0 || 0 || 0 || 16 || 0 || 15 || 0 || 0 || 0 || 0 || || || */ CREATE TABLE manager_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM manager_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes larusto01 ||BBWAA Manager of the year ||1983 || AL || || */ CREATE TABLE player_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes bondto01 ||Pitching Triple Crown ||1877 || NL || || */ CREATE TABLE manager_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won INTEGER, points_max INTEGER, votes_first INTEGER) /* 1 example row: SELECT * FROM manager_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Mgr of the year ||1983 || AL ||altobjo01 || 7 || 28 || 7 */ CREATE TABLE player_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won NUMERIC, points_max INTEGER, votes_first NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Cy Young ||1956 || ML || fordwh01 || 1 || 16 || 1 */ CREATE TABLE batting ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, g INTEGER, ab NUMERIC, r NUMERIC, h NUMERIC, double NUMERIC, triple NUMERIC, hr NUMERIC, rbi NUMERIC, sb NUMERIC, cs NUMERIC, bb NUMERIC, so NUMERIC, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM batting LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp abercda01 ||1871 || 1 || TRO || ||1 || 4 ||0 ||0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || || || || || */ CREATE TABLE batting_postseason ( year INTEGER, round TEXT, player_id TEXT, team_id TEXT, league_id TEXT, g INTEGER, ab INTEGER, r INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, rbi INTEGER, sb INTEGER, cs NUMERIC, bb INTEGER, so INTEGER, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM batting_postseason LIMIT 1; year ||round ||player_id ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp 1884 || WS ||becanbu01 || NY4 || AA ||1 || 2 ||0 ||1 || 0 || 0 || 0 || 0 || 0 || || 0 || 0 || 0 || || || || */ CREATE TABLE player_college ( player_id TEXT, college_id TEXT, year INTEGER, foreign key (player_id) references player(player_id), foreign key (college_id) references college(college_id) ) /* 1 example row: SELECT * FROM player_college LIMIT 1; player_id ||college_id ||year aardsda01 || pennst ||2001 */ CREATE TABLE fielding ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po NUMERIC, a NUMERIC, e NUMERIC, dp NUMERIC, pb NUMERIC, wp NUMERIC, sb NUMERIC, cs NUMERIC, zr NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||pos ||g ||gs ||inn_outs ||po ||a ||e ||dp ||pb ||wp ||sb ||cs ||zr abercda01 ||1871 || 1 || TRO || || SS ||1 || || || 1 ||3 ||2 || 0 || || || || || */ CREATE TABLE fielding_outfield ( player_id TEXT, year INTEGER, stint INTEGER, glf NUMERIC, gcf NUMERIC, grf NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding_outfield LIMIT 1; player_id ||year ||stint ||glf ||gcf ||grf allisar01 ||1871 || 1 || 0 || 29 || 0 */ CREATE TABLE fielding_postseason ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, round TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po INTEGER, a INTEGER, e INTEGER, dp INTEGER, tp INTEGER, pb NUMERIC, sb NUMERIC, cs NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references player(team_id) ) /* 1 example row: SELECT * FROM fielding_postseason LIMIT 1; player_id ||year ||team_id ||league_id ||round ||pos ||g ||gs ||inn_outs ||po || a ||e ||dp ||tp ||pb ||sb ||cs colliji01 ||1903 || BOS || AL || WS || 3B ||8 || 8 || 213 || 9 ||18 ||1 || 1 || 0 || || || */ CREATE TABLE hall_of_fame ( player_id TEXT, yearid INTEGER, votedby TEXT, ballots NUMERIC, needed NUMERIC, votes NUMERIC, inducted TEXT, category TEXT, needed_note TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM hall_of_fame LIMIT 1; player_id ||yearid ||votedby ||ballots ||needed ||votes ||inducted ||category ||needed_note cobbty01 || 1936 || BBWAA || 226 || 170 || 222 || Y || Player || */ CREATE TABLE home_game ( year INTEGER, league_id TEXT, team_id TEXT, park_id TEXT, span_first TEXT, span_last TEXT, games INTEGER, openings INTEGER, attendance INTEGER, foreign key (team_id) references team(team_id), foreign key (park_id) references park(park_id) ) /* 1 example row: SELECT * FROM home_game LIMIT 1; year ||league_id ||team_id ||park_id ||span_first || span_last ||games ||openings ||attendance 1871 || || BS1 || BOS01 ||1871-05-16 ||1871-10-07 || 16 || 16 || 32600 */ CREATE TABLE manager ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, g INTEGER, w INTEGER, l INTEGER, rank NUMERIC, plyr_mgr TEXT, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager LIMIT 1; player_id ||year ||team_id ||league_id ||inseason || g || w || l ||rank ||plyr_mgr wrighha01 ||1871 || BS1 || || 1 ||31 ||20 ||10 || 3 || Y */ CREATE TABLE manager_half ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, half INTEGER, g INTEGER, w INTEGER, l INTEGER, rank INTEGER, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager_half LIMIT 1; player_id ||year ||team_id ||league_id ||inseason ||half || g || w || l ||rank hanlone01 ||1892 || BLN || NL || 3 || 1 ||56 ||17 ||39 || 12 */ CREATE TABLE player ( player_id TEXT, birth_year NUMERIC, birth_month NUMERIC, birth_day NUMERIC, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year NUMERIC, death_month NUMERIC, death_day NUMERIC, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight NUMERIC, height NUMERIC, bats TEXT, throws TEXT, debut TEXT, final_game TEXT, retro_id TEXT, bbref_id TEXT) /* 1 example row: SELECT * FROM player LIMIT 1; player_id ||birth_year ||birth_month ||birth_day ||birth_country ||birth_state ||birth_city ||death_year ||death_month ||death_day ||death_country ||death_state ||death_city ||name_first ||name_last || name_given ||weight ||height ||bats ||throws || debut ||final_game ||retro_id || bbref_id aardsda01 || 1981 || 12 || 27 || USA || CO || Denver || || || || || || || David || Aardsma ||David Allan || 220 || 75 || R || R ||2004-04-06 ||2015-08-23 ||aardd001 ||aardsda01 */ CREATE TABLE park ( park_id TEXT, park_name TEXT, park_alias TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM park LIMIT 1; park_id || park_name ||park_alias || city ||state ||country ALB01 ||Riverside Park || ||Albany || NY || US */ CREATE TABLE pitching ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts NUMERIC, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp NUMERIC, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk INTEGER, bfp NUMERIC, gf NUMERIC, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts || h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp bechtge01 ||1871 || 1 || PH1 || ||1 ||2 ||3 || 3 || 2 || 0 || 0 || 78 ||43 ||23 || 0 ||11 || 1 || ||7.96 || || || || 0 || || ||42 || || || */ CREATE TABLE pitching_postseason ( player_id TEXT, year INTEGER, round TEXT, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp TEXT, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk NUMERIC, bfp NUMERIC, gf INTEGER, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching_postseason LIMIT 1; player_id ||year ||round ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts ||h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp becanbu01 ||1884 || WS || NY4 || AA ||0 ||1 ||1 || 1 || 1 || 0 || 0 || 18 ||9 || 7 || 0 || 2 || 1 || ||10.5 || || || || || || 0 ||12 || || || */ CREATE TABLE salary ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, salary INTEGER) /* 1 example row: SELECT * FROM salary LIMIT 1; year ||team_id ||league_id ||player_id ||salary 1985 || ATL || NL ||barkele01 ||870000 */ CREATE TABLE college ( college_id TEXT, name_full TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM college LIMIT 1; college_id || name_full || city ||state ||country abilchrist ||Abilene Christian University ||Abilene || TX || USA */ CREATE TABLE postseason ( year INTEGER, round TEXT, team_id_winner TEXT, league_id_winner TEXT, team_id_loser TEXT, league_id_loser TEXT, wins INTEGER, losses INTEGER, ties INTEGER) /* 1 example row: SELECT * FROM postseason LIMIT 1; year ||round ||team_id_winner ||league_id_winner ||team_id_loser ||league_id_loser ||wins ||losses ||ties 1884 || WS || PRO || NL || NYP || AA || 3 || 0 || 0 */ CREATE TABLE team ( year INTEGER, league_id TEXT, team_id TEXT, franchise_id TEXT, div_id TEXT, rank INTEGER, g INTEGER, ghome NUMERIC, w INTEGER, l INTEGER, div_win TEXT, wc_win TEXT, lg_win TEXT, ws_win TEXT, r INTEGER, ab INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, bb INTEGER, so NUMERIC, sb NUMERIC, cs NUMERIC, hbp NUMERIC, sf NUMERIC, ra INTEGER, er INTEGER, era NUMERIC, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, ha INTEGER, hra INTEGER, bba INTEGER, soa INTEGER, e INTEGER, dp NUMERIC, fp NUMERIC, name TEXT, park TEXT, attendance NUMERIC, bpf INTEGER, ppf INTEGER, team_id_br TEXT, team_id_lahman45 TEXT, team_id_retro TEXT) /* 1 example row: SELECT * FROM team LIMIT 1; year ||league_id ||team_id ||franchise_id ||div_id ||rank || g ||ghome || w || l ||div_win ||wc_win ||lg_win ||ws_win || r || ab || h ||double ||triple ||hr ||bb ||so ||sb ||cs ||hbp ||sf || ra || er || era ||cg ||sho ||sv ||ipouts || ha ||hra ||bba ||soa || e ||dp || fp || name || park ||attendance ||bpf ||ppf ||team_id_br ||team_id_lahman45 ||team_id_retro 1871 || || BS1 || BNA || || 3 ||31 || ||20 ||10 || || || N || ||401 ||1372 ||426 || 70 || 37 || 3 ||60 ||19 ||73 || || || ||303 ||109 ||3.55 ||22 || 1 || 3 || 828 ||367 || 2 || 42 || 23 ||225 || ||0.83 ||Boston Red Stockings ||South End Grounds I || ||103 || 98 || BOS || BS1 || BS1 */ CREATE TABLE team_franchise ( franchise_id TEXT, franchise_name TEXT, active TEXT, na_assoc TEXT) /* 1 example row: SELECT * FROM team_franchise LIMIT 1; franchise_id || franchise_name ||active ||na_assoc ALT ||Altoona Mountain City || N || */ CREATE TABLE team_half ( year INTEGER, league_id TEXT, team_id TEXT, half INTEGER, div_id TEXT, div_win TEXT, rank INTEGER, g INTEGER, w INTEGER, l INTEGER) /* 1 example row: SELECT * FROM team_half LIMIT 1; year ||league_id ||team_id ||half ||div_id ||div_win ||rank || g || w || l 1981 || NL || ATL || 1 || W || N || 4 ||54 ||25 ||29 */
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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 all_star ( player_id TEXT, year INTEGER, game_num INTEGER, game_id TEXT, team_id TEXT, league_id TEXT, gp NUMERIC, starting_pos NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM all_star LIMIT 1; player_id ||year ||game_num || game_id ||team_id ||league_id ||gp ||starting_pos gomezle01 ||1933 || 0 ||ALS193307060 || NYA || AL || 1 || 1 */ CREATE TABLE appearances ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, g_all NUMERIC, gs NUMERIC, g_batting INTEGER, g_defense NUMERIC, g_p INTEGER, g_c INTEGER, g_1b INTEGER, g_2b INTEGER, g_3b INTEGER, g_ss INTEGER, g_lf INTEGER, g_cf INTEGER, g_rf INTEGER, g_of INTEGER, g_dh NUMERIC, g_ph NUMERIC, g_pr NUMERIC, foreign key (team_id) references team(team_id), foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM appearances LIMIT 1; year ||team_id ||league_id ||player_id ||g_all ||gs ||g_batting ||g_defense ||g_p ||g_c ||g_1b ||g_2b ||g_3b ||g_ss ||g_lf ||g_cf ||g_rf ||g_of ||g_dh ||g_ph ||g_pr 1871 || BS1 || ||barnero01 || 31 || || 31 || 31 || 0 || 0 || 0 || 16 || 0 || 15 || 0 || 0 || 0 || 0 || || || */ CREATE TABLE manager_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM manager_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes larusto01 ||BBWAA Manager of the year ||1983 || AL || || */ CREATE TABLE player_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes bondto01 ||Pitching Triple Crown ||1877 || NL || || */ CREATE TABLE manager_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won INTEGER, points_max INTEGER, votes_first INTEGER) /* 1 example row: SELECT * FROM manager_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Mgr of the year ||1983 || AL ||altobjo01 || 7 || 28 || 7 */ CREATE TABLE player_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won NUMERIC, points_max INTEGER, votes_first NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Cy Young ||1956 || ML || fordwh01 || 1 || 16 || 1 */ CREATE TABLE batting ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, g INTEGER, ab NUMERIC, r NUMERIC, h NUMERIC, double NUMERIC, triple NUMERIC, hr NUMERIC, rbi NUMERIC, sb NUMERIC, cs NUMERIC, bb NUMERIC, so NUMERIC, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM batting LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp abercda01 ||1871 || 1 || TRO || ||1 || 4 ||0 ||0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || || || || || */ CREATE TABLE batting_postseason ( year INTEGER, round TEXT, player_id TEXT, team_id TEXT, league_id TEXT, g INTEGER, ab INTEGER, r INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, rbi INTEGER, sb INTEGER, cs NUMERIC, bb INTEGER, so INTEGER, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM batting_postseason LIMIT 1; year ||round ||player_id ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp 1884 || WS ||becanbu01 || NY4 || AA ||1 || 2 ||0 ||1 || 0 || 0 || 0 || 0 || 0 || || 0 || 0 || 0 || || || || */ CREATE TABLE player_college ( player_id TEXT, college_id TEXT, year INTEGER, foreign key (player_id) references player(player_id), foreign key (college_id) references college(college_id) ) /* 1 example row: SELECT * FROM player_college LIMIT 1; player_id ||college_id ||year aardsda01 || pennst ||2001 */ CREATE TABLE fielding ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po NUMERIC, a NUMERIC, e NUMERIC, dp NUMERIC, pb NUMERIC, wp NUMERIC, sb NUMERIC, cs NUMERIC, zr NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||pos ||g ||gs ||inn_outs ||po ||a ||e ||dp ||pb ||wp ||sb ||cs ||zr abercda01 ||1871 || 1 || TRO || || SS ||1 || || || 1 ||3 ||2 || 0 || || || || || */ CREATE TABLE fielding_outfield ( player_id TEXT, year INTEGER, stint INTEGER, glf NUMERIC, gcf NUMERIC, grf NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding_outfield LIMIT 1; player_id ||year ||stint ||glf ||gcf ||grf allisar01 ||1871 || 1 || 0 || 29 || 0 */ CREATE TABLE fielding_postseason ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, round TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po INTEGER, a INTEGER, e INTEGER, dp INTEGER, tp INTEGER, pb NUMERIC, sb NUMERIC, cs NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references player(team_id) ) /* 1 example row: SELECT * FROM fielding_postseason LIMIT 1; player_id ||year ||team_id ||league_id ||round ||pos ||g ||gs ||inn_outs ||po || a ||e ||dp ||tp ||pb ||sb ||cs colliji01 ||1903 || BOS || AL || WS || 3B ||8 || 8 || 213 || 9 ||18 ||1 || 1 || 0 || || || */ CREATE TABLE hall_of_fame ( player_id TEXT, yearid INTEGER, votedby TEXT, ballots NUMERIC, needed NUMERIC, votes NUMERIC, inducted TEXT, category TEXT, needed_note TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM hall_of_fame LIMIT 1; player_id ||yearid ||votedby ||ballots ||needed ||votes ||inducted ||category ||needed_note cobbty01 || 1936 || BBWAA || 226 || 170 || 222 || Y || Player || */ CREATE TABLE home_game ( year INTEGER, league_id TEXT, team_id TEXT, park_id TEXT, span_first TEXT, span_last TEXT, games INTEGER, openings INTEGER, attendance INTEGER, foreign key (team_id) references team(team_id), foreign key (park_id) references park(park_id) ) /* 1 example row: SELECT * FROM home_game LIMIT 1; year ||league_id ||team_id ||park_id ||span_first || span_last ||games ||openings ||attendance 1871 || || BS1 || BOS01 ||1871-05-16 ||1871-10-07 || 16 || 16 || 32600 */ CREATE TABLE manager ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, g INTEGER, w INTEGER, l INTEGER, rank NUMERIC, plyr_mgr TEXT, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager LIMIT 1; player_id ||year ||team_id ||league_id ||inseason || g || w || l ||rank ||plyr_mgr wrighha01 ||1871 || BS1 || || 1 ||31 ||20 ||10 || 3 || Y */ CREATE TABLE manager_half ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, half INTEGER, g INTEGER, w INTEGER, l INTEGER, rank INTEGER, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager_half LIMIT 1; player_id ||year ||team_id ||league_id ||inseason ||half || g || w || l ||rank hanlone01 ||1892 || BLN || NL || 3 || 1 ||56 ||17 ||39 || 12 */ CREATE TABLE player ( player_id TEXT, birth_year NUMERIC, birth_month NUMERIC, birth_day NUMERIC, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year NUMERIC, death_month NUMERIC, death_day NUMERIC, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight NUMERIC, height NUMERIC, bats TEXT, throws TEXT, debut TEXT, final_game TEXT, retro_id TEXT, bbref_id TEXT) /* 1 example row: SELECT * FROM player LIMIT 1; player_id ||birth_year ||birth_month ||birth_day ||birth_country ||birth_state ||birth_city ||death_year ||death_month ||death_day ||death_country ||death_state ||death_city ||name_first ||name_last || name_given ||weight ||height ||bats ||throws || debut ||final_game ||retro_id || bbref_id aardsda01 || 1981 || 12 || 27 || USA || CO || Denver || || || || || || || David || Aardsma ||David Allan || 220 || 75 || R || R ||2004-04-06 ||2015-08-23 ||aardd001 ||aardsda01 */ CREATE TABLE park ( park_id TEXT, park_name TEXT, park_alias TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM park LIMIT 1; park_id || park_name ||park_alias || city ||state ||country ALB01 ||Riverside Park || ||Albany || NY || US */ CREATE TABLE pitching ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts NUMERIC, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp NUMERIC, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk INTEGER, bfp NUMERIC, gf NUMERIC, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts || h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp bechtge01 ||1871 || 1 || PH1 || ||1 ||2 ||3 || 3 || 2 || 0 || 0 || 78 ||43 ||23 || 0 ||11 || 1 || ||7.96 || || || || 0 || || ||42 || || || */ CREATE TABLE pitching_postseason ( player_id TEXT, year INTEGER, round TEXT, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp TEXT, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk NUMERIC, bfp NUMERIC, gf INTEGER, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching_postseason LIMIT 1; player_id ||year ||round ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts ||h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp becanbu01 ||1884 || WS || NY4 || AA ||0 ||1 ||1 || 1 || 1 || 0 || 0 || 18 ||9 || 7 || 0 || 2 || 1 || ||10.5 || || || || || || 0 ||12 || || || */ CREATE TABLE salary ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, salary INTEGER) /* 1 example row: SELECT * FROM salary LIMIT 1; year ||team_id ||league_id ||player_id ||salary 1985 || ATL || NL ||barkele01 ||870000 */ CREATE TABLE college ( college_id TEXT, name_full TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM college LIMIT 1; college_id || name_full || city ||state ||country abilchrist ||Abilene Christian University ||Abilene || TX || USA */ CREATE TABLE postseason ( year INTEGER, round TEXT, team_id_winner TEXT, league_id_winner TEXT, team_id_loser TEXT, league_id_loser TEXT, wins INTEGER, losses INTEGER, ties INTEGER) /* 1 example row: SELECT * FROM postseason LIMIT 1; year ||round ||team_id_winner ||league_id_winner ||team_id_loser ||league_id_loser ||wins ||losses ||ties 1884 || WS || PRO || NL || NYP || AA || 3 || 0 || 0 */ CREATE TABLE team ( year INTEGER, league_id TEXT, team_id TEXT, franchise_id TEXT, div_id TEXT, rank INTEGER, g INTEGER, ghome NUMERIC, w INTEGER, l INTEGER, div_win TEXT, wc_win TEXT, lg_win TEXT, ws_win TEXT, r INTEGER, ab INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, bb INTEGER, so NUMERIC, sb NUMERIC, cs NUMERIC, hbp NUMERIC, sf NUMERIC, ra INTEGER, er INTEGER, era NUMERIC, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, ha INTEGER, hra INTEGER, bba INTEGER, soa INTEGER, e INTEGER, dp NUMERIC, fp NUMERIC, name TEXT, park TEXT, attendance NUMERIC, bpf INTEGER, ppf INTEGER, team_id_br TEXT, team_id_lahman45 TEXT, team_id_retro TEXT) /* 1 example row: SELECT * FROM team LIMIT 1; year ||league_id ||team_id ||franchise_id ||div_id ||rank || g ||ghome || w || l ||div_win ||wc_win ||lg_win ||ws_win || r || ab || h ||double ||triple ||hr ||bb ||so ||sb ||cs ||hbp ||sf || ra || er || era ||cg ||sho ||sv ||ipouts || ha ||hra ||bba ||soa || e ||dp || fp || name || park ||attendance ||bpf ||ppf ||team_id_br ||team_id_lahman45 ||team_id_retro 1871 || || BS1 || BNA || || 3 ||31 || ||20 ||10 || || || N || ||401 ||1372 ||426 || 70 || 37 || 3 ||60 ||19 ||73 || || || ||303 ||109 ||3.55 ||22 || 1 || 3 || 828 ||367 || 2 || 42 || 23 ||225 || ||0.83 ||Boston Red Stockings ||South End Grounds I || ||103 || 98 || BOS || BS1 || BS1 */ CREATE TABLE team_franchise ( franchise_id TEXT, franchise_name TEXT, active TEXT, na_assoc TEXT) /* 1 example row: SELECT * FROM team_franchise LIMIT 1; franchise_id || franchise_name ||active ||na_assoc ALT ||Altoona Mountain City || N || */ CREATE TABLE team_half ( year INTEGER, league_id TEXT, team_id TEXT, half INTEGER, div_id TEXT, div_win TEXT, rank INTEGER, g INTEGER, w INTEGER, l INTEGER) /* 1 example row: SELECT * FROM team_half LIMIT 1; year ||league_id ||team_id ||half ||div_id ||div_win ||rank || g || w || l 1981 || NL || ATL || 1 || W || N || 4 ||54 ||25 ||29 */ ### Question What is the average number of attendance at home games for each year?
[query_database(**{'query': 'SELECT YEAR , avg(attendance) FROM home_game GROUP BY YEAR;'})]
### 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 all_star ( player_id TEXT, year INTEGER, game_num INTEGER, game_id TEXT, team_id TEXT, league_id TEXT, gp NUMERIC, starting_pos NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM all_star LIMIT 1; player_id ||year ||game_num || game_id ||team_id ||league_id ||gp ||starting_pos gomezle01 ||1933 || 0 ||ALS193307060 || NYA || AL || 1 || 1 */ CREATE TABLE appearances ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, g_all NUMERIC, gs NUMERIC, g_batting INTEGER, g_defense NUMERIC, g_p INTEGER, g_c INTEGER, g_1b INTEGER, g_2b INTEGER, g_3b INTEGER, g_ss INTEGER, g_lf INTEGER, g_cf INTEGER, g_rf INTEGER, g_of INTEGER, g_dh NUMERIC, g_ph NUMERIC, g_pr NUMERIC, foreign key (team_id) references team(team_id), foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM appearances LIMIT 1; year ||team_id ||league_id ||player_id ||g_all ||gs ||g_batting ||g_defense ||g_p ||g_c ||g_1b ||g_2b ||g_3b ||g_ss ||g_lf ||g_cf ||g_rf ||g_of ||g_dh ||g_ph ||g_pr 1871 || BS1 || ||barnero01 || 31 || || 31 || 31 || 0 || 0 || 0 || 16 || 0 || 15 || 0 || 0 || 0 || 0 || || || */ CREATE TABLE manager_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM manager_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes larusto01 ||BBWAA Manager of the year ||1983 || AL || || */ CREATE TABLE player_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes bondto01 ||Pitching Triple Crown ||1877 || NL || || */ CREATE TABLE manager_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won INTEGER, points_max INTEGER, votes_first INTEGER) /* 1 example row: SELECT * FROM manager_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Mgr of the year ||1983 || AL ||altobjo01 || 7 || 28 || 7 */ CREATE TABLE player_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won NUMERIC, points_max INTEGER, votes_first NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Cy Young ||1956 || ML || fordwh01 || 1 || 16 || 1 */ CREATE TABLE batting ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, g INTEGER, ab NUMERIC, r NUMERIC, h NUMERIC, double NUMERIC, triple NUMERIC, hr NUMERIC, rbi NUMERIC, sb NUMERIC, cs NUMERIC, bb NUMERIC, so NUMERIC, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM batting LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp abercda01 ||1871 || 1 || TRO || ||1 || 4 ||0 ||0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || || || || || */ CREATE TABLE batting_postseason ( year INTEGER, round TEXT, player_id TEXT, team_id TEXT, league_id TEXT, g INTEGER, ab INTEGER, r INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, rbi INTEGER, sb INTEGER, cs NUMERIC, bb INTEGER, so INTEGER, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM batting_postseason LIMIT 1; year ||round ||player_id ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp 1884 || WS ||becanbu01 || NY4 || AA ||1 || 2 ||0 ||1 || 0 || 0 || 0 || 0 || 0 || || 0 || 0 || 0 || || || || */ CREATE TABLE player_college ( player_id TEXT, college_id TEXT, year INTEGER, foreign key (player_id) references player(player_id), foreign key (college_id) references college(college_id) ) /* 1 example row: SELECT * FROM player_college LIMIT 1; player_id ||college_id ||year aardsda01 || pennst ||2001 */ CREATE TABLE fielding ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po NUMERIC, a NUMERIC, e NUMERIC, dp NUMERIC, pb NUMERIC, wp NUMERIC, sb NUMERIC, cs NUMERIC, zr NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||pos ||g ||gs ||inn_outs ||po ||a ||e ||dp ||pb ||wp ||sb ||cs ||zr abercda01 ||1871 || 1 || TRO || || SS ||1 || || || 1 ||3 ||2 || 0 || || || || || */ CREATE TABLE fielding_outfield ( player_id TEXT, year INTEGER, stint INTEGER, glf NUMERIC, gcf NUMERIC, grf NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding_outfield LIMIT 1; player_id ||year ||stint ||glf ||gcf ||grf allisar01 ||1871 || 1 || 0 || 29 || 0 */ CREATE TABLE fielding_postseason ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, round TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po INTEGER, a INTEGER, e INTEGER, dp INTEGER, tp INTEGER, pb NUMERIC, sb NUMERIC, cs NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references player(team_id) ) /* 1 example row: SELECT * FROM fielding_postseason LIMIT 1; player_id ||year ||team_id ||league_id ||round ||pos ||g ||gs ||inn_outs ||po || a ||e ||dp ||tp ||pb ||sb ||cs colliji01 ||1903 || BOS || AL || WS || 3B ||8 || 8 || 213 || 9 ||18 ||1 || 1 || 0 || || || */ CREATE TABLE hall_of_fame ( player_id TEXT, yearid INTEGER, votedby TEXT, ballots NUMERIC, needed NUMERIC, votes NUMERIC, inducted TEXT, category TEXT, needed_note TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM hall_of_fame LIMIT 1; player_id ||yearid ||votedby ||ballots ||needed ||votes ||inducted ||category ||needed_note cobbty01 || 1936 || BBWAA || 226 || 170 || 222 || Y || Player || */ CREATE TABLE home_game ( year INTEGER, league_id TEXT, team_id TEXT, park_id TEXT, span_first TEXT, span_last TEXT, games INTEGER, openings INTEGER, attendance INTEGER, foreign key (team_id) references team(team_id), foreign key (park_id) references park(park_id) ) /* 1 example row: SELECT * FROM home_game LIMIT 1; year ||league_id ||team_id ||park_id ||span_first || span_last ||games ||openings ||attendance 1871 || || BS1 || BOS01 ||1871-05-16 ||1871-10-07 || 16 || 16 || 32600 */ CREATE TABLE manager ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, g INTEGER, w INTEGER, l INTEGER, rank NUMERIC, plyr_mgr TEXT, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager LIMIT 1; player_id ||year ||team_id ||league_id ||inseason || g || w || l ||rank ||plyr_mgr wrighha01 ||1871 || BS1 || || 1 ||31 ||20 ||10 || 3 || Y */ CREATE TABLE manager_half ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, half INTEGER, g INTEGER, w INTEGER, l INTEGER, rank INTEGER, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager_half LIMIT 1; player_id ||year ||team_id ||league_id ||inseason ||half || g || w || l ||rank hanlone01 ||1892 || BLN || NL || 3 || 1 ||56 ||17 ||39 || 12 */ CREATE TABLE player ( player_id TEXT, birth_year NUMERIC, birth_month NUMERIC, birth_day NUMERIC, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year NUMERIC, death_month NUMERIC, death_day NUMERIC, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight NUMERIC, height NUMERIC, bats TEXT, throws TEXT, debut TEXT, final_game TEXT, retro_id TEXT, bbref_id TEXT) /* 1 example row: SELECT * FROM player LIMIT 1; player_id ||birth_year ||birth_month ||birth_day ||birth_country ||birth_state ||birth_city ||death_year ||death_month ||death_day ||death_country ||death_state ||death_city ||name_first ||name_last || name_given ||weight ||height ||bats ||throws || debut ||final_game ||retro_id || bbref_id aardsda01 || 1981 || 12 || 27 || USA || CO || Denver || || || || || || || David || Aardsma ||David Allan || 220 || 75 || R || R ||2004-04-06 ||2015-08-23 ||aardd001 ||aardsda01 */ CREATE TABLE park ( park_id TEXT, park_name TEXT, park_alias TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM park LIMIT 1; park_id || park_name ||park_alias || city ||state ||country ALB01 ||Riverside Park || ||Albany || NY || US */ CREATE TABLE pitching ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts NUMERIC, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp NUMERIC, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk INTEGER, bfp NUMERIC, gf NUMERIC, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts || h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp bechtge01 ||1871 || 1 || PH1 || ||1 ||2 ||3 || 3 || 2 || 0 || 0 || 78 ||43 ||23 || 0 ||11 || 1 || ||7.96 || || || || 0 || || ||42 || || || */ CREATE TABLE pitching_postseason ( player_id TEXT, year INTEGER, round TEXT, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp TEXT, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk NUMERIC, bfp NUMERIC, gf INTEGER, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching_postseason LIMIT 1; player_id ||year ||round ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts ||h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp becanbu01 ||1884 || WS || NY4 || AA ||0 ||1 ||1 || 1 || 1 || 0 || 0 || 18 ||9 || 7 || 0 || 2 || 1 || ||10.5 || || || || || || 0 ||12 || || || */ CREATE TABLE salary ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, salary INTEGER) /* 1 example row: SELECT * FROM salary LIMIT 1; year ||team_id ||league_id ||player_id ||salary 1985 || ATL || NL ||barkele01 ||870000 */ CREATE TABLE college ( college_id TEXT, name_full TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM college LIMIT 1; college_id || name_full || city ||state ||country abilchrist ||Abilene Christian University ||Abilene || TX || USA */ CREATE TABLE postseason ( year INTEGER, round TEXT, team_id_winner TEXT, league_id_winner TEXT, team_id_loser TEXT, league_id_loser TEXT, wins INTEGER, losses INTEGER, ties INTEGER) /* 1 example row: SELECT * FROM postseason LIMIT 1; year ||round ||team_id_winner ||league_id_winner ||team_id_loser ||league_id_loser ||wins ||losses ||ties 1884 || WS || PRO || NL || NYP || AA || 3 || 0 || 0 */ CREATE TABLE team ( year INTEGER, league_id TEXT, team_id TEXT, franchise_id TEXT, div_id TEXT, rank INTEGER, g INTEGER, ghome NUMERIC, w INTEGER, l INTEGER, div_win TEXT, wc_win TEXT, lg_win TEXT, ws_win TEXT, r INTEGER, ab INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, bb INTEGER, so NUMERIC, sb NUMERIC, cs NUMERIC, hbp NUMERIC, sf NUMERIC, ra INTEGER, er INTEGER, era NUMERIC, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, ha INTEGER, hra INTEGER, bba INTEGER, soa INTEGER, e INTEGER, dp NUMERIC, fp NUMERIC, name TEXT, park TEXT, attendance NUMERIC, bpf INTEGER, ppf INTEGER, team_id_br TEXT, team_id_lahman45 TEXT, team_id_retro TEXT) /* 1 example row: SELECT * FROM team LIMIT 1; year ||league_id ||team_id ||franchise_id ||div_id ||rank || g ||ghome || w || l ||div_win ||wc_win ||lg_win ||ws_win || r || ab || h ||double ||triple ||hr ||bb ||so ||sb ||cs ||hbp ||sf || ra || er || era ||cg ||sho ||sv ||ipouts || ha ||hra ||bba ||soa || e ||dp || fp || name || park ||attendance ||bpf ||ppf ||team_id_br ||team_id_lahman45 ||team_id_retro 1871 || || BS1 || BNA || || 3 ||31 || ||20 ||10 || || || N || ||401 ||1372 ||426 || 70 || 37 || 3 ||60 ||19 ||73 || || || ||303 ||109 ||3.55 ||22 || 1 || 3 || 828 ||367 || 2 || 42 || 23 ||225 || ||0.83 ||Boston Red Stockings ||South End Grounds I || ||103 || 98 || BOS || BS1 || BS1 */ CREATE TABLE team_franchise ( franchise_id TEXT, franchise_name TEXT, active TEXT, na_assoc TEXT) /* 1 example row: SELECT * FROM team_franchise LIMIT 1; franchise_id || franchise_name ||active ||na_assoc ALT ||Altoona Mountain City || N || */ CREATE TABLE team_half ( year INTEGER, league_id TEXT, team_id TEXT, half INTEGER, div_id TEXT, div_win TEXT, rank INTEGER, g INTEGER, w INTEGER, l INTEGER) /* 1 example row: SELECT * FROM team_half LIMIT 1; year ||league_id ||team_id ||half ||div_id ||div_win ||rank || g || w || l 1981 || NL || ATL || 1 || W || N || 4 ||54 ||25 ||29 */
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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 all_star ( player_id TEXT, year INTEGER, game_num INTEGER, game_id TEXT, team_id TEXT, league_id TEXT, gp NUMERIC, starting_pos NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM all_star LIMIT 1; player_id ||year ||game_num || game_id ||team_id ||league_id ||gp ||starting_pos gomezle01 ||1933 || 0 ||ALS193307060 || NYA || AL || 1 || 1 */ CREATE TABLE appearances ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, g_all NUMERIC, gs NUMERIC, g_batting INTEGER, g_defense NUMERIC, g_p INTEGER, g_c INTEGER, g_1b INTEGER, g_2b INTEGER, g_3b INTEGER, g_ss INTEGER, g_lf INTEGER, g_cf INTEGER, g_rf INTEGER, g_of INTEGER, g_dh NUMERIC, g_ph NUMERIC, g_pr NUMERIC, foreign key (team_id) references team(team_id), foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM appearances LIMIT 1; year ||team_id ||league_id ||player_id ||g_all ||gs ||g_batting ||g_defense ||g_p ||g_c ||g_1b ||g_2b ||g_3b ||g_ss ||g_lf ||g_cf ||g_rf ||g_of ||g_dh ||g_ph ||g_pr 1871 || BS1 || ||barnero01 || 31 || || 31 || 31 || 0 || 0 || 0 || 16 || 0 || 15 || 0 || 0 || 0 || 0 || || || */ CREATE TABLE manager_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM manager_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes larusto01 ||BBWAA Manager of the year ||1983 || AL || || */ CREATE TABLE player_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes bondto01 ||Pitching Triple Crown ||1877 || NL || || */ CREATE TABLE manager_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won INTEGER, points_max INTEGER, votes_first INTEGER) /* 1 example row: SELECT * FROM manager_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Mgr of the year ||1983 || AL ||altobjo01 || 7 || 28 || 7 */ CREATE TABLE player_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won NUMERIC, points_max INTEGER, votes_first NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Cy Young ||1956 || ML || fordwh01 || 1 || 16 || 1 */ CREATE TABLE batting ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, g INTEGER, ab NUMERIC, r NUMERIC, h NUMERIC, double NUMERIC, triple NUMERIC, hr NUMERIC, rbi NUMERIC, sb NUMERIC, cs NUMERIC, bb NUMERIC, so NUMERIC, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM batting LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp abercda01 ||1871 || 1 || TRO || ||1 || 4 ||0 ||0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || || || || || */ CREATE TABLE batting_postseason ( year INTEGER, round TEXT, player_id TEXT, team_id TEXT, league_id TEXT, g INTEGER, ab INTEGER, r INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, rbi INTEGER, sb INTEGER, cs NUMERIC, bb INTEGER, so INTEGER, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM batting_postseason LIMIT 1; year ||round ||player_id ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp 1884 || WS ||becanbu01 || NY4 || AA ||1 || 2 ||0 ||1 || 0 || 0 || 0 || 0 || 0 || || 0 || 0 || 0 || || || || */ CREATE TABLE player_college ( player_id TEXT, college_id TEXT, year INTEGER, foreign key (player_id) references player(player_id), foreign key (college_id) references college(college_id) ) /* 1 example row: SELECT * FROM player_college LIMIT 1; player_id ||college_id ||year aardsda01 || pennst ||2001 */ CREATE TABLE fielding ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po NUMERIC, a NUMERIC, e NUMERIC, dp NUMERIC, pb NUMERIC, wp NUMERIC, sb NUMERIC, cs NUMERIC, zr NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||pos ||g ||gs ||inn_outs ||po ||a ||e ||dp ||pb ||wp ||sb ||cs ||zr abercda01 ||1871 || 1 || TRO || || SS ||1 || || || 1 ||3 ||2 || 0 || || || || || */ CREATE TABLE fielding_outfield ( player_id TEXT, year INTEGER, stint INTEGER, glf NUMERIC, gcf NUMERIC, grf NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding_outfield LIMIT 1; player_id ||year ||stint ||glf ||gcf ||grf allisar01 ||1871 || 1 || 0 || 29 || 0 */ CREATE TABLE fielding_postseason ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, round TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po INTEGER, a INTEGER, e INTEGER, dp INTEGER, tp INTEGER, pb NUMERIC, sb NUMERIC, cs NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references player(team_id) ) /* 1 example row: SELECT * FROM fielding_postseason LIMIT 1; player_id ||year ||team_id ||league_id ||round ||pos ||g ||gs ||inn_outs ||po || a ||e ||dp ||tp ||pb ||sb ||cs colliji01 ||1903 || BOS || AL || WS || 3B ||8 || 8 || 213 || 9 ||18 ||1 || 1 || 0 || || || */ CREATE TABLE hall_of_fame ( player_id TEXT, yearid INTEGER, votedby TEXT, ballots NUMERIC, needed NUMERIC, votes NUMERIC, inducted TEXT, category TEXT, needed_note TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM hall_of_fame LIMIT 1; player_id ||yearid ||votedby ||ballots ||needed ||votes ||inducted ||category ||needed_note cobbty01 || 1936 || BBWAA || 226 || 170 || 222 || Y || Player || */ CREATE TABLE home_game ( year INTEGER, league_id TEXT, team_id TEXT, park_id TEXT, span_first TEXT, span_last TEXT, games INTEGER, openings INTEGER, attendance INTEGER, foreign key (team_id) references team(team_id), foreign key (park_id) references park(park_id) ) /* 1 example row: SELECT * FROM home_game LIMIT 1; year ||league_id ||team_id ||park_id ||span_first || span_last ||games ||openings ||attendance 1871 || || BS1 || BOS01 ||1871-05-16 ||1871-10-07 || 16 || 16 || 32600 */ CREATE TABLE manager ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, g INTEGER, w INTEGER, l INTEGER, rank NUMERIC, plyr_mgr TEXT, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager LIMIT 1; player_id ||year ||team_id ||league_id ||inseason || g || w || l ||rank ||plyr_mgr wrighha01 ||1871 || BS1 || || 1 ||31 ||20 ||10 || 3 || Y */ CREATE TABLE manager_half ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, half INTEGER, g INTEGER, w INTEGER, l INTEGER, rank INTEGER, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager_half LIMIT 1; player_id ||year ||team_id ||league_id ||inseason ||half || g || w || l ||rank hanlone01 ||1892 || BLN || NL || 3 || 1 ||56 ||17 ||39 || 12 */ CREATE TABLE player ( player_id TEXT, birth_year NUMERIC, birth_month NUMERIC, birth_day NUMERIC, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year NUMERIC, death_month NUMERIC, death_day NUMERIC, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight NUMERIC, height NUMERIC, bats TEXT, throws TEXT, debut TEXT, final_game TEXT, retro_id TEXT, bbref_id TEXT) /* 1 example row: SELECT * FROM player LIMIT 1; player_id ||birth_year ||birth_month ||birth_day ||birth_country ||birth_state ||birth_city ||death_year ||death_month ||death_day ||death_country ||death_state ||death_city ||name_first ||name_last || name_given ||weight ||height ||bats ||throws || debut ||final_game ||retro_id || bbref_id aardsda01 || 1981 || 12 || 27 || USA || CO || Denver || || || || || || || David || Aardsma ||David Allan || 220 || 75 || R || R ||2004-04-06 ||2015-08-23 ||aardd001 ||aardsda01 */ CREATE TABLE park ( park_id TEXT, park_name TEXT, park_alias TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM park LIMIT 1; park_id || park_name ||park_alias || city ||state ||country ALB01 ||Riverside Park || ||Albany || NY || US */ CREATE TABLE pitching ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts NUMERIC, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp NUMERIC, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk INTEGER, bfp NUMERIC, gf NUMERIC, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts || h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp bechtge01 ||1871 || 1 || PH1 || ||1 ||2 ||3 || 3 || 2 || 0 || 0 || 78 ||43 ||23 || 0 ||11 || 1 || ||7.96 || || || || 0 || || ||42 || || || */ CREATE TABLE pitching_postseason ( player_id TEXT, year INTEGER, round TEXT, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp TEXT, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk NUMERIC, bfp NUMERIC, gf INTEGER, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching_postseason LIMIT 1; player_id ||year ||round ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts ||h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp becanbu01 ||1884 || WS || NY4 || AA ||0 ||1 ||1 || 1 || 1 || 0 || 0 || 18 ||9 || 7 || 0 || 2 || 1 || ||10.5 || || || || || || 0 ||12 || || || */ CREATE TABLE salary ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, salary INTEGER) /* 1 example row: SELECT * FROM salary LIMIT 1; year ||team_id ||league_id ||player_id ||salary 1985 || ATL || NL ||barkele01 ||870000 */ CREATE TABLE college ( college_id TEXT, name_full TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM college LIMIT 1; college_id || name_full || city ||state ||country abilchrist ||Abilene Christian University ||Abilene || TX || USA */ CREATE TABLE postseason ( year INTEGER, round TEXT, team_id_winner TEXT, league_id_winner TEXT, team_id_loser TEXT, league_id_loser TEXT, wins INTEGER, losses INTEGER, ties INTEGER) /* 1 example row: SELECT * FROM postseason LIMIT 1; year ||round ||team_id_winner ||league_id_winner ||team_id_loser ||league_id_loser ||wins ||losses ||ties 1884 || WS || PRO || NL || NYP || AA || 3 || 0 || 0 */ CREATE TABLE team ( year INTEGER, league_id TEXT, team_id TEXT, franchise_id TEXT, div_id TEXT, rank INTEGER, g INTEGER, ghome NUMERIC, w INTEGER, l INTEGER, div_win TEXT, wc_win TEXT, lg_win TEXT, ws_win TEXT, r INTEGER, ab INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, bb INTEGER, so NUMERIC, sb NUMERIC, cs NUMERIC, hbp NUMERIC, sf NUMERIC, ra INTEGER, er INTEGER, era NUMERIC, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, ha INTEGER, hra INTEGER, bba INTEGER, soa INTEGER, e INTEGER, dp NUMERIC, fp NUMERIC, name TEXT, park TEXT, attendance NUMERIC, bpf INTEGER, ppf INTEGER, team_id_br TEXT, team_id_lahman45 TEXT, team_id_retro TEXT) /* 1 example row: SELECT * FROM team LIMIT 1; year ||league_id ||team_id ||franchise_id ||div_id ||rank || g ||ghome || w || l ||div_win ||wc_win ||lg_win ||ws_win || r || ab || h ||double ||triple ||hr ||bb ||so ||sb ||cs ||hbp ||sf || ra || er || era ||cg ||sho ||sv ||ipouts || ha ||hra ||bba ||soa || e ||dp || fp || name || park ||attendance ||bpf ||ppf ||team_id_br ||team_id_lahman45 ||team_id_retro 1871 || || BS1 || BNA || || 3 ||31 || ||20 ||10 || || || N || ||401 ||1372 ||426 || 70 || 37 || 3 ||60 ||19 ||73 || || || ||303 ||109 ||3.55 ||22 || 1 || 3 || 828 ||367 || 2 || 42 || 23 ||225 || ||0.83 ||Boston Red Stockings ||South End Grounds I || ||103 || 98 || BOS || BS1 || BS1 */ CREATE TABLE team_franchise ( franchise_id TEXT, franchise_name TEXT, active TEXT, na_assoc TEXT) /* 1 example row: SELECT * FROM team_franchise LIMIT 1; franchise_id || franchise_name ||active ||na_assoc ALT ||Altoona Mountain City || N || */ CREATE TABLE team_half ( year INTEGER, league_id TEXT, team_id TEXT, half INTEGER, div_id TEXT, div_win TEXT, rank INTEGER, g INTEGER, w INTEGER, l INTEGER) /* 1 example row: SELECT * FROM team_half LIMIT 1; year ||league_id ||team_id ||half ||div_id ||div_win ||rank || g || w || l 1981 || NL || ATL || 1 || W || N || 4 ||54 ||25 ||29 */ ### Question What are the manager's first name, last name and id who won the most manager award?
[query_database(**{'query': 'SELECT T1.name_first , T1.name_last , T2.player_id FROM player AS T1 JOIN manager_award AS T2 ON T1.player_id = T2.player_id GROUP BY T2.player_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 all_star ( player_id TEXT, year INTEGER, game_num INTEGER, game_id TEXT, team_id TEXT, league_id TEXT, gp NUMERIC, starting_pos NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM all_star LIMIT 1; player_id ||year ||game_num || game_id ||team_id ||league_id ||gp ||starting_pos gomezle01 ||1933 || 0 ||ALS193307060 || NYA || AL || 1 || 1 */ CREATE TABLE appearances ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, g_all NUMERIC, gs NUMERIC, g_batting INTEGER, g_defense NUMERIC, g_p INTEGER, g_c INTEGER, g_1b INTEGER, g_2b INTEGER, g_3b INTEGER, g_ss INTEGER, g_lf INTEGER, g_cf INTEGER, g_rf INTEGER, g_of INTEGER, g_dh NUMERIC, g_ph NUMERIC, g_pr NUMERIC, foreign key (team_id) references team(team_id), foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM appearances LIMIT 1; year ||team_id ||league_id ||player_id ||g_all ||gs ||g_batting ||g_defense ||g_p ||g_c ||g_1b ||g_2b ||g_3b ||g_ss ||g_lf ||g_cf ||g_rf ||g_of ||g_dh ||g_ph ||g_pr 1871 || BS1 || ||barnero01 || 31 || || 31 || 31 || 0 || 0 || 0 || 16 || 0 || 15 || 0 || 0 || 0 || 0 || || || */ CREATE TABLE manager_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM manager_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes larusto01 ||BBWAA Manager of the year ||1983 || AL || || */ CREATE TABLE player_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes bondto01 ||Pitching Triple Crown ||1877 || NL || || */ CREATE TABLE manager_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won INTEGER, points_max INTEGER, votes_first INTEGER) /* 1 example row: SELECT * FROM manager_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Mgr of the year ||1983 || AL ||altobjo01 || 7 || 28 || 7 */ CREATE TABLE player_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won NUMERIC, points_max INTEGER, votes_first NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Cy Young ||1956 || ML || fordwh01 || 1 || 16 || 1 */ CREATE TABLE batting ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, g INTEGER, ab NUMERIC, r NUMERIC, h NUMERIC, double NUMERIC, triple NUMERIC, hr NUMERIC, rbi NUMERIC, sb NUMERIC, cs NUMERIC, bb NUMERIC, so NUMERIC, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM batting LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp abercda01 ||1871 || 1 || TRO || ||1 || 4 ||0 ||0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || || || || || */ CREATE TABLE batting_postseason ( year INTEGER, round TEXT, player_id TEXT, team_id TEXT, league_id TEXT, g INTEGER, ab INTEGER, r INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, rbi INTEGER, sb INTEGER, cs NUMERIC, bb INTEGER, so INTEGER, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM batting_postseason LIMIT 1; year ||round ||player_id ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp 1884 || WS ||becanbu01 || NY4 || AA ||1 || 2 ||0 ||1 || 0 || 0 || 0 || 0 || 0 || || 0 || 0 || 0 || || || || */ CREATE TABLE player_college ( player_id TEXT, college_id TEXT, year INTEGER, foreign key (player_id) references player(player_id), foreign key (college_id) references college(college_id) ) /* 1 example row: SELECT * FROM player_college LIMIT 1; player_id ||college_id ||year aardsda01 || pennst ||2001 */ CREATE TABLE fielding ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po NUMERIC, a NUMERIC, e NUMERIC, dp NUMERIC, pb NUMERIC, wp NUMERIC, sb NUMERIC, cs NUMERIC, zr NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||pos ||g ||gs ||inn_outs ||po ||a ||e ||dp ||pb ||wp ||sb ||cs ||zr abercda01 ||1871 || 1 || TRO || || SS ||1 || || || 1 ||3 ||2 || 0 || || || || || */ CREATE TABLE fielding_outfield ( player_id TEXT, year INTEGER, stint INTEGER, glf NUMERIC, gcf NUMERIC, grf NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding_outfield LIMIT 1; player_id ||year ||stint ||glf ||gcf ||grf allisar01 ||1871 || 1 || 0 || 29 || 0 */ CREATE TABLE fielding_postseason ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, round TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po INTEGER, a INTEGER, e INTEGER, dp INTEGER, tp INTEGER, pb NUMERIC, sb NUMERIC, cs NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references player(team_id) ) /* 1 example row: SELECT * FROM fielding_postseason LIMIT 1; player_id ||year ||team_id ||league_id ||round ||pos ||g ||gs ||inn_outs ||po || a ||e ||dp ||tp ||pb ||sb ||cs colliji01 ||1903 || BOS || AL || WS || 3B ||8 || 8 || 213 || 9 ||18 ||1 || 1 || 0 || || || */ CREATE TABLE hall_of_fame ( player_id TEXT, yearid INTEGER, votedby TEXT, ballots NUMERIC, needed NUMERIC, votes NUMERIC, inducted TEXT, category TEXT, needed_note TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM hall_of_fame LIMIT 1; player_id ||yearid ||votedby ||ballots ||needed ||votes ||inducted ||category ||needed_note cobbty01 || 1936 || BBWAA || 226 || 170 || 222 || Y || Player || */ CREATE TABLE home_game ( year INTEGER, league_id TEXT, team_id TEXT, park_id TEXT, span_first TEXT, span_last TEXT, games INTEGER, openings INTEGER, attendance INTEGER, foreign key (team_id) references team(team_id), foreign key (park_id) references park(park_id) ) /* 1 example row: SELECT * FROM home_game LIMIT 1; year ||league_id ||team_id ||park_id ||span_first || span_last ||games ||openings ||attendance 1871 || || BS1 || BOS01 ||1871-05-16 ||1871-10-07 || 16 || 16 || 32600 */ CREATE TABLE manager ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, g INTEGER, w INTEGER, l INTEGER, rank NUMERIC, plyr_mgr TEXT, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager LIMIT 1; player_id ||year ||team_id ||league_id ||inseason || g || w || l ||rank ||plyr_mgr wrighha01 ||1871 || BS1 || || 1 ||31 ||20 ||10 || 3 || Y */ CREATE TABLE manager_half ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, half INTEGER, g INTEGER, w INTEGER, l INTEGER, rank INTEGER, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager_half LIMIT 1; player_id ||year ||team_id ||league_id ||inseason ||half || g || w || l ||rank hanlone01 ||1892 || BLN || NL || 3 || 1 ||56 ||17 ||39 || 12 */ CREATE TABLE player ( player_id TEXT, birth_year NUMERIC, birth_month NUMERIC, birth_day NUMERIC, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year NUMERIC, death_month NUMERIC, death_day NUMERIC, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight NUMERIC, height NUMERIC, bats TEXT, throws TEXT, debut TEXT, final_game TEXT, retro_id TEXT, bbref_id TEXT) /* 1 example row: SELECT * FROM player LIMIT 1; player_id ||birth_year ||birth_month ||birth_day ||birth_country ||birth_state ||birth_city ||death_year ||death_month ||death_day ||death_country ||death_state ||death_city ||name_first ||name_last || name_given ||weight ||height ||bats ||throws || debut ||final_game ||retro_id || bbref_id aardsda01 || 1981 || 12 || 27 || USA || CO || Denver || || || || || || || David || Aardsma ||David Allan || 220 || 75 || R || R ||2004-04-06 ||2015-08-23 ||aardd001 ||aardsda01 */ CREATE TABLE park ( park_id TEXT, park_name TEXT, park_alias TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM park LIMIT 1; park_id || park_name ||park_alias || city ||state ||country ALB01 ||Riverside Park || ||Albany || NY || US */ CREATE TABLE pitching ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts NUMERIC, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp NUMERIC, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk INTEGER, bfp NUMERIC, gf NUMERIC, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts || h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp bechtge01 ||1871 || 1 || PH1 || ||1 ||2 ||3 || 3 || 2 || 0 || 0 || 78 ||43 ||23 || 0 ||11 || 1 || ||7.96 || || || || 0 || || ||42 || || || */ CREATE TABLE pitching_postseason ( player_id TEXT, year INTEGER, round TEXT, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp TEXT, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk NUMERIC, bfp NUMERIC, gf INTEGER, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching_postseason LIMIT 1; player_id ||year ||round ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts ||h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp becanbu01 ||1884 || WS || NY4 || AA ||0 ||1 ||1 || 1 || 1 || 0 || 0 || 18 ||9 || 7 || 0 || 2 || 1 || ||10.5 || || || || || || 0 ||12 || || || */ CREATE TABLE salary ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, salary INTEGER) /* 1 example row: SELECT * FROM salary LIMIT 1; year ||team_id ||league_id ||player_id ||salary 1985 || ATL || NL ||barkele01 ||870000 */ CREATE TABLE college ( college_id TEXT, name_full TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM college LIMIT 1; college_id || name_full || city ||state ||country abilchrist ||Abilene Christian University ||Abilene || TX || USA */ CREATE TABLE postseason ( year INTEGER, round TEXT, team_id_winner TEXT, league_id_winner TEXT, team_id_loser TEXT, league_id_loser TEXT, wins INTEGER, losses INTEGER, ties INTEGER) /* 1 example row: SELECT * FROM postseason LIMIT 1; year ||round ||team_id_winner ||league_id_winner ||team_id_loser ||league_id_loser ||wins ||losses ||ties 1884 || WS || PRO || NL || NYP || AA || 3 || 0 || 0 */ CREATE TABLE team ( year INTEGER, league_id TEXT, team_id TEXT, franchise_id TEXT, div_id TEXT, rank INTEGER, g INTEGER, ghome NUMERIC, w INTEGER, l INTEGER, div_win TEXT, wc_win TEXT, lg_win TEXT, ws_win TEXT, r INTEGER, ab INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, bb INTEGER, so NUMERIC, sb NUMERIC, cs NUMERIC, hbp NUMERIC, sf NUMERIC, ra INTEGER, er INTEGER, era NUMERIC, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, ha INTEGER, hra INTEGER, bba INTEGER, soa INTEGER, e INTEGER, dp NUMERIC, fp NUMERIC, name TEXT, park TEXT, attendance NUMERIC, bpf INTEGER, ppf INTEGER, team_id_br TEXT, team_id_lahman45 TEXT, team_id_retro TEXT) /* 1 example row: SELECT * FROM team LIMIT 1; year ||league_id ||team_id ||franchise_id ||div_id ||rank || g ||ghome || w || l ||div_win ||wc_win ||lg_win ||ws_win || r || ab || h ||double ||triple ||hr ||bb ||so ||sb ||cs ||hbp ||sf || ra || er || era ||cg ||sho ||sv ||ipouts || ha ||hra ||bba ||soa || e ||dp || fp || name || park ||attendance ||bpf ||ppf ||team_id_br ||team_id_lahman45 ||team_id_retro 1871 || || BS1 || BNA || || 3 ||31 || ||20 ||10 || || || N || ||401 ||1372 ||426 || 70 || 37 || 3 ||60 ||19 ||73 || || || ||303 ||109 ||3.55 ||22 || 1 || 3 || 828 ||367 || 2 || 42 || 23 ||225 || ||0.83 ||Boston Red Stockings ||South End Grounds I || ||103 || 98 || BOS || BS1 || BS1 */ CREATE TABLE team_franchise ( franchise_id TEXT, franchise_name TEXT, active TEXT, na_assoc TEXT) /* 1 example row: SELECT * FROM team_franchise LIMIT 1; franchise_id || franchise_name ||active ||na_assoc ALT ||Altoona Mountain City || N || */ CREATE TABLE team_half ( year INTEGER, league_id TEXT, team_id TEXT, half INTEGER, div_id TEXT, div_win TEXT, rank INTEGER, g INTEGER, w INTEGER, l INTEGER) /* 1 example row: SELECT * FROM team_half LIMIT 1; year ||league_id ||team_id ||half ||div_id ||div_win ||rank || g || w || l 1981 || NL || ATL || 1 || W || N || 4 ||54 ||25 ||29 */
3,647
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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 all_star ( player_id TEXT, year INTEGER, game_num INTEGER, game_id TEXT, team_id TEXT, league_id TEXT, gp NUMERIC, starting_pos NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM all_star LIMIT 1; player_id ||year ||game_num || game_id ||team_id ||league_id ||gp ||starting_pos gomezle01 ||1933 || 0 ||ALS193307060 || NYA || AL || 1 || 1 */ CREATE TABLE appearances ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, g_all NUMERIC, gs NUMERIC, g_batting INTEGER, g_defense NUMERIC, g_p INTEGER, g_c INTEGER, g_1b INTEGER, g_2b INTEGER, g_3b INTEGER, g_ss INTEGER, g_lf INTEGER, g_cf INTEGER, g_rf INTEGER, g_of INTEGER, g_dh NUMERIC, g_ph NUMERIC, g_pr NUMERIC, foreign key (team_id) references team(team_id), foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM appearances LIMIT 1; year ||team_id ||league_id ||player_id ||g_all ||gs ||g_batting ||g_defense ||g_p ||g_c ||g_1b ||g_2b ||g_3b ||g_ss ||g_lf ||g_cf ||g_rf ||g_of ||g_dh ||g_ph ||g_pr 1871 || BS1 || ||barnero01 || 31 || || 31 || 31 || 0 || 0 || 0 || 16 || 0 || 15 || 0 || 0 || 0 || 0 || || || */ CREATE TABLE manager_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM manager_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes larusto01 ||BBWAA Manager of the year ||1983 || AL || || */ CREATE TABLE player_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes bondto01 ||Pitching Triple Crown ||1877 || NL || || */ CREATE TABLE manager_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won INTEGER, points_max INTEGER, votes_first INTEGER) /* 1 example row: SELECT * FROM manager_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Mgr of the year ||1983 || AL ||altobjo01 || 7 || 28 || 7 */ CREATE TABLE player_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won NUMERIC, points_max INTEGER, votes_first NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Cy Young ||1956 || ML || fordwh01 || 1 || 16 || 1 */ CREATE TABLE batting ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, g INTEGER, ab NUMERIC, r NUMERIC, h NUMERIC, double NUMERIC, triple NUMERIC, hr NUMERIC, rbi NUMERIC, sb NUMERIC, cs NUMERIC, bb NUMERIC, so NUMERIC, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM batting LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp abercda01 ||1871 || 1 || TRO || ||1 || 4 ||0 ||0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || || || || || */ CREATE TABLE batting_postseason ( year INTEGER, round TEXT, player_id TEXT, team_id TEXT, league_id TEXT, g INTEGER, ab INTEGER, r INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, rbi INTEGER, sb INTEGER, cs NUMERIC, bb INTEGER, so INTEGER, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM batting_postseason LIMIT 1; year ||round ||player_id ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp 1884 || WS ||becanbu01 || NY4 || AA ||1 || 2 ||0 ||1 || 0 || 0 || 0 || 0 || 0 || || 0 || 0 || 0 || || || || */ CREATE TABLE player_college ( player_id TEXT, college_id TEXT, year INTEGER, foreign key (player_id) references player(player_id), foreign key (college_id) references college(college_id) ) /* 1 example row: SELECT * FROM player_college LIMIT 1; player_id ||college_id ||year aardsda01 || pennst ||2001 */ CREATE TABLE fielding ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po NUMERIC, a NUMERIC, e NUMERIC, dp NUMERIC, pb NUMERIC, wp NUMERIC, sb NUMERIC, cs NUMERIC, zr NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||pos ||g ||gs ||inn_outs ||po ||a ||e ||dp ||pb ||wp ||sb ||cs ||zr abercda01 ||1871 || 1 || TRO || || SS ||1 || || || 1 ||3 ||2 || 0 || || || || || */ CREATE TABLE fielding_outfield ( player_id TEXT, year INTEGER, stint INTEGER, glf NUMERIC, gcf NUMERIC, grf NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding_outfield LIMIT 1; player_id ||year ||stint ||glf ||gcf ||grf allisar01 ||1871 || 1 || 0 || 29 || 0 */ CREATE TABLE fielding_postseason ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, round TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po INTEGER, a INTEGER, e INTEGER, dp INTEGER, tp INTEGER, pb NUMERIC, sb NUMERIC, cs NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references player(team_id) ) /* 1 example row: SELECT * FROM fielding_postseason LIMIT 1; player_id ||year ||team_id ||league_id ||round ||pos ||g ||gs ||inn_outs ||po || a ||e ||dp ||tp ||pb ||sb ||cs colliji01 ||1903 || BOS || AL || WS || 3B ||8 || 8 || 213 || 9 ||18 ||1 || 1 || 0 || || || */ CREATE TABLE hall_of_fame ( player_id TEXT, yearid INTEGER, votedby TEXT, ballots NUMERIC, needed NUMERIC, votes NUMERIC, inducted TEXT, category TEXT, needed_note TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM hall_of_fame LIMIT 1; player_id ||yearid ||votedby ||ballots ||needed ||votes ||inducted ||category ||needed_note cobbty01 || 1936 || BBWAA || 226 || 170 || 222 || Y || Player || */ CREATE TABLE home_game ( year INTEGER, league_id TEXT, team_id TEXT, park_id TEXT, span_first TEXT, span_last TEXT, games INTEGER, openings INTEGER, attendance INTEGER, foreign key (team_id) references team(team_id), foreign key (park_id) references park(park_id) ) /* 1 example row: SELECT * FROM home_game LIMIT 1; year ||league_id ||team_id ||park_id ||span_first || span_last ||games ||openings ||attendance 1871 || || BS1 || BOS01 ||1871-05-16 ||1871-10-07 || 16 || 16 || 32600 */ CREATE TABLE manager ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, g INTEGER, w INTEGER, l INTEGER, rank NUMERIC, plyr_mgr TEXT, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager LIMIT 1; player_id ||year ||team_id ||league_id ||inseason || g || w || l ||rank ||plyr_mgr wrighha01 ||1871 || BS1 || || 1 ||31 ||20 ||10 || 3 || Y */ CREATE TABLE manager_half ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, half INTEGER, g INTEGER, w INTEGER, l INTEGER, rank INTEGER, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager_half LIMIT 1; player_id ||year ||team_id ||league_id ||inseason ||half || g || w || l ||rank hanlone01 ||1892 || BLN || NL || 3 || 1 ||56 ||17 ||39 || 12 */ CREATE TABLE player ( player_id TEXT, birth_year NUMERIC, birth_month NUMERIC, birth_day NUMERIC, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year NUMERIC, death_month NUMERIC, death_day NUMERIC, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight NUMERIC, height NUMERIC, bats TEXT, throws TEXT, debut TEXT, final_game TEXT, retro_id TEXT, bbref_id TEXT) /* 1 example row: SELECT * FROM player LIMIT 1; player_id ||birth_year ||birth_month ||birth_day ||birth_country ||birth_state ||birth_city ||death_year ||death_month ||death_day ||death_country ||death_state ||death_city ||name_first ||name_last || name_given ||weight ||height ||bats ||throws || debut ||final_game ||retro_id || bbref_id aardsda01 || 1981 || 12 || 27 || USA || CO || Denver || || || || || || || David || Aardsma ||David Allan || 220 || 75 || R || R ||2004-04-06 ||2015-08-23 ||aardd001 ||aardsda01 */ CREATE TABLE park ( park_id TEXT, park_name TEXT, park_alias TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM park LIMIT 1; park_id || park_name ||park_alias || city ||state ||country ALB01 ||Riverside Park || ||Albany || NY || US */ CREATE TABLE pitching ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts NUMERIC, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp NUMERIC, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk INTEGER, bfp NUMERIC, gf NUMERIC, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts || h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp bechtge01 ||1871 || 1 || PH1 || ||1 ||2 ||3 || 3 || 2 || 0 || 0 || 78 ||43 ||23 || 0 ||11 || 1 || ||7.96 || || || || 0 || || ||42 || || || */ CREATE TABLE pitching_postseason ( player_id TEXT, year INTEGER, round TEXT, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp TEXT, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk NUMERIC, bfp NUMERIC, gf INTEGER, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching_postseason LIMIT 1; player_id ||year ||round ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts ||h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp becanbu01 ||1884 || WS || NY4 || AA ||0 ||1 ||1 || 1 || 1 || 0 || 0 || 18 ||9 || 7 || 0 || 2 || 1 || ||10.5 || || || || || || 0 ||12 || || || */ CREATE TABLE salary ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, salary INTEGER) /* 1 example row: SELECT * FROM salary LIMIT 1; year ||team_id ||league_id ||player_id ||salary 1985 || ATL || NL ||barkele01 ||870000 */ CREATE TABLE college ( college_id TEXT, name_full TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM college LIMIT 1; college_id || name_full || city ||state ||country abilchrist ||Abilene Christian University ||Abilene || TX || USA */ CREATE TABLE postseason ( year INTEGER, round TEXT, team_id_winner TEXT, league_id_winner TEXT, team_id_loser TEXT, league_id_loser TEXT, wins INTEGER, losses INTEGER, ties INTEGER) /* 1 example row: SELECT * FROM postseason LIMIT 1; year ||round ||team_id_winner ||league_id_winner ||team_id_loser ||league_id_loser ||wins ||losses ||ties 1884 || WS || PRO || NL || NYP || AA || 3 || 0 || 0 */ CREATE TABLE team ( year INTEGER, league_id TEXT, team_id TEXT, franchise_id TEXT, div_id TEXT, rank INTEGER, g INTEGER, ghome NUMERIC, w INTEGER, l INTEGER, div_win TEXT, wc_win TEXT, lg_win TEXT, ws_win TEXT, r INTEGER, ab INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, bb INTEGER, so NUMERIC, sb NUMERIC, cs NUMERIC, hbp NUMERIC, sf NUMERIC, ra INTEGER, er INTEGER, era NUMERIC, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, ha INTEGER, hra INTEGER, bba INTEGER, soa INTEGER, e INTEGER, dp NUMERIC, fp NUMERIC, name TEXT, park TEXT, attendance NUMERIC, bpf INTEGER, ppf INTEGER, team_id_br TEXT, team_id_lahman45 TEXT, team_id_retro TEXT) /* 1 example row: SELECT * FROM team LIMIT 1; year ||league_id ||team_id ||franchise_id ||div_id ||rank || g ||ghome || w || l ||div_win ||wc_win ||lg_win ||ws_win || r || ab || h ||double ||triple ||hr ||bb ||so ||sb ||cs ||hbp ||sf || ra || er || era ||cg ||sho ||sv ||ipouts || ha ||hra ||bba ||soa || e ||dp || fp || name || park ||attendance ||bpf ||ppf ||team_id_br ||team_id_lahman45 ||team_id_retro 1871 || || BS1 || BNA || || 3 ||31 || ||20 ||10 || || || N || ||401 ||1372 ||426 || 70 || 37 || 3 ||60 ||19 ||73 || || || ||303 ||109 ||3.55 ||22 || 1 || 3 || 828 ||367 || 2 || 42 || 23 ||225 || ||0.83 ||Boston Red Stockings ||South End Grounds I || ||103 || 98 || BOS || BS1 || BS1 */ CREATE TABLE team_franchise ( franchise_id TEXT, franchise_name TEXT, active TEXT, na_assoc TEXT) /* 1 example row: SELECT * FROM team_franchise LIMIT 1; franchise_id || franchise_name ||active ||na_assoc ALT ||Altoona Mountain City || N || */ CREATE TABLE team_half ( year INTEGER, league_id TEXT, team_id TEXT, half INTEGER, div_id TEXT, div_win TEXT, rank INTEGER, g INTEGER, w INTEGER, l INTEGER) /* 1 example row: SELECT * FROM team_half LIMIT 1; year ||league_id ||team_id ||half ||div_id ||div_win ||rank || g || w || l 1981 || NL || ATL || 1 || W || N || 4 ||54 ||25 ||29 */ ### Question Which 3 players won the most player awards? List their full name and id.
[query_database(**{'query': 'SELECT T1.name_first , T1.name_last , T1.player_id FROM player AS T1 JOIN player_award AS T2 ON T1.player_id = T2.player_id GROUP BY T1.player_id 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 all_star ( player_id TEXT, year INTEGER, game_num INTEGER, game_id TEXT, team_id TEXT, league_id TEXT, gp NUMERIC, starting_pos NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM all_star LIMIT 1; player_id ||year ||game_num || game_id ||team_id ||league_id ||gp ||starting_pos gomezle01 ||1933 || 0 ||ALS193307060 || NYA || AL || 1 || 1 */ CREATE TABLE appearances ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, g_all NUMERIC, gs NUMERIC, g_batting INTEGER, g_defense NUMERIC, g_p INTEGER, g_c INTEGER, g_1b INTEGER, g_2b INTEGER, g_3b INTEGER, g_ss INTEGER, g_lf INTEGER, g_cf INTEGER, g_rf INTEGER, g_of INTEGER, g_dh NUMERIC, g_ph NUMERIC, g_pr NUMERIC, foreign key (team_id) references team(team_id), foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM appearances LIMIT 1; year ||team_id ||league_id ||player_id ||g_all ||gs ||g_batting ||g_defense ||g_p ||g_c ||g_1b ||g_2b ||g_3b ||g_ss ||g_lf ||g_cf ||g_rf ||g_of ||g_dh ||g_ph ||g_pr 1871 || BS1 || ||barnero01 || 31 || || 31 || 31 || 0 || 0 || 0 || 16 || 0 || 15 || 0 || 0 || 0 || 0 || || || */ CREATE TABLE manager_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM manager_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes larusto01 ||BBWAA Manager of the year ||1983 || AL || || */ CREATE TABLE player_award ( player_id TEXT, award_id TEXT, year INTEGER, league_id TEXT, tie TEXT, notes TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award LIMIT 1; player_id || award_id ||year ||league_id ||tie ||notes bondto01 ||Pitching Triple Crown ||1877 || NL || || */ CREATE TABLE manager_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won INTEGER, points_max INTEGER, votes_first INTEGER) /* 1 example row: SELECT * FROM manager_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Mgr of the year ||1983 || AL ||altobjo01 || 7 || 28 || 7 */ CREATE TABLE player_award_vote ( award_id TEXT, year INTEGER, league_id TEXT, player_id TEXT, points_won NUMERIC, points_max INTEGER, votes_first NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM player_award_vote LIMIT 1; award_id ||year ||league_id ||player_id ||points_won ||points_max ||votes_first Cy Young ||1956 || ML || fordwh01 || 1 || 16 || 1 */ CREATE TABLE batting ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, g INTEGER, ab NUMERIC, r NUMERIC, h NUMERIC, double NUMERIC, triple NUMERIC, hr NUMERIC, rbi NUMERIC, sb NUMERIC, cs NUMERIC, bb NUMERIC, so NUMERIC, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM batting LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp abercda01 ||1871 || 1 || TRO || ||1 || 4 ||0 ||0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || 0 || || || || || */ CREATE TABLE batting_postseason ( year INTEGER, round TEXT, player_id TEXT, team_id TEXT, league_id TEXT, g INTEGER, ab INTEGER, r INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, rbi INTEGER, sb INTEGER, cs NUMERIC, bb INTEGER, so INTEGER, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM batting_postseason LIMIT 1; year ||round ||player_id ||team_id ||league_id ||g ||ab ||r ||h ||double ||triple ||hr ||rbi ||sb ||cs ||bb ||so ||ibb ||hbp ||sh ||sf ||g_idp 1884 || WS ||becanbu01 || NY4 || AA ||1 || 2 ||0 ||1 || 0 || 0 || 0 || 0 || 0 || || 0 || 0 || 0 || || || || */ CREATE TABLE player_college ( player_id TEXT, college_id TEXT, year INTEGER, foreign key (player_id) references player(player_id), foreign key (college_id) references college(college_id) ) /* 1 example row: SELECT * FROM player_college LIMIT 1; player_id ||college_id ||year aardsda01 || pennst ||2001 */ CREATE TABLE fielding ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po NUMERIC, a NUMERIC, e NUMERIC, dp NUMERIC, pb NUMERIC, wp NUMERIC, sb NUMERIC, cs NUMERIC, zr NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||pos ||g ||gs ||inn_outs ||po ||a ||e ||dp ||pb ||wp ||sb ||cs ||zr abercda01 ||1871 || 1 || TRO || || SS ||1 || || || 1 ||3 ||2 || 0 || || || || || */ CREATE TABLE fielding_outfield ( player_id TEXT, year INTEGER, stint INTEGER, glf NUMERIC, gcf NUMERIC, grf NUMERIC, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM fielding_outfield LIMIT 1; player_id ||year ||stint ||glf ||gcf ||grf allisar01 ||1871 || 1 || 0 || 29 || 0 */ CREATE TABLE fielding_postseason ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, round TEXT, pos TEXT, g INTEGER, gs NUMERIC, inn_outs NUMERIC, po INTEGER, a INTEGER, e INTEGER, dp INTEGER, tp INTEGER, pb NUMERIC, sb NUMERIC, cs NUMERIC, foreign key (player_id) references player(player_id), foreign key (team_id) references player(team_id) ) /* 1 example row: SELECT * FROM fielding_postseason LIMIT 1; player_id ||year ||team_id ||league_id ||round ||pos ||g ||gs ||inn_outs ||po || a ||e ||dp ||tp ||pb ||sb ||cs colliji01 ||1903 || BOS || AL || WS || 3B ||8 || 8 || 213 || 9 ||18 ||1 || 1 || 0 || || || */ CREATE TABLE hall_of_fame ( player_id TEXT, yearid INTEGER, votedby TEXT, ballots NUMERIC, needed NUMERIC, votes NUMERIC, inducted TEXT, category TEXT, needed_note TEXT, foreign key (player_id) references player(player_id) ) /* 1 example row: SELECT * FROM hall_of_fame LIMIT 1; player_id ||yearid ||votedby ||ballots ||needed ||votes ||inducted ||category ||needed_note cobbty01 || 1936 || BBWAA || 226 || 170 || 222 || Y || Player || */ CREATE TABLE home_game ( year INTEGER, league_id TEXT, team_id TEXT, park_id TEXT, span_first TEXT, span_last TEXT, games INTEGER, openings INTEGER, attendance INTEGER, foreign key (team_id) references team(team_id), foreign key (park_id) references park(park_id) ) /* 1 example row: SELECT * FROM home_game LIMIT 1; year ||league_id ||team_id ||park_id ||span_first || span_last ||games ||openings ||attendance 1871 || || BS1 || BOS01 ||1871-05-16 ||1871-10-07 || 16 || 16 || 32600 */ CREATE TABLE manager ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, g INTEGER, w INTEGER, l INTEGER, rank NUMERIC, plyr_mgr TEXT, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager LIMIT 1; player_id ||year ||team_id ||league_id ||inseason || g || w || l ||rank ||plyr_mgr wrighha01 ||1871 || BS1 || || 1 ||31 ||20 ||10 || 3 || Y */ CREATE TABLE manager_half ( player_id TEXT, year INTEGER, team_id TEXT, league_id TEXT, inseason INTEGER, half INTEGER, g INTEGER, w INTEGER, l INTEGER, rank INTEGER, foreign key (team_id) references team(team_id) ) /* 1 example row: SELECT * FROM manager_half LIMIT 1; player_id ||year ||team_id ||league_id ||inseason ||half || g || w || l ||rank hanlone01 ||1892 || BLN || NL || 3 || 1 ||56 ||17 ||39 || 12 */ CREATE TABLE player ( player_id TEXT, birth_year NUMERIC, birth_month NUMERIC, birth_day NUMERIC, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year NUMERIC, death_month NUMERIC, death_day NUMERIC, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight NUMERIC, height NUMERIC, bats TEXT, throws TEXT, debut TEXT, final_game TEXT, retro_id TEXT, bbref_id TEXT) /* 1 example row: SELECT * FROM player LIMIT 1; player_id ||birth_year ||birth_month ||birth_day ||birth_country ||birth_state ||birth_city ||death_year ||death_month ||death_day ||death_country ||death_state ||death_city ||name_first ||name_last || name_given ||weight ||height ||bats ||throws || debut ||final_game ||retro_id || bbref_id aardsda01 || 1981 || 12 || 27 || USA || CO || Denver || || || || || || || David || Aardsma ||David Allan || 220 || 75 || R || R ||2004-04-06 ||2015-08-23 ||aardd001 ||aardsda01 */ CREATE TABLE park ( park_id TEXT, park_name TEXT, park_alias TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM park LIMIT 1; park_id || park_name ||park_alias || city ||state ||country ALB01 ||Riverside Park || ||Albany || NY || US */ CREATE TABLE pitching ( player_id TEXT, year INTEGER, stint INTEGER, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts NUMERIC, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp NUMERIC, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk INTEGER, bfp NUMERIC, gf NUMERIC, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching LIMIT 1; player_id ||year ||stint ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts || h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp bechtge01 ||1871 || 1 || PH1 || ||1 ||2 ||3 || 3 || 2 || 0 || 0 || 78 ||43 ||23 || 0 ||11 || 1 || ||7.96 || || || || 0 || || ||42 || || || */ CREATE TABLE pitching_postseason ( player_id TEXT, year INTEGER, round TEXT, team_id TEXT, league_id TEXT, w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp TEXT, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk NUMERIC, bfp NUMERIC, gf INTEGER, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) /* 1 example row: SELECT * FROM pitching_postseason LIMIT 1; player_id ||year ||round ||team_id ||league_id ||w ||l ||g ||gs ||cg ||sho ||sv ||ipouts ||h ||er ||hr ||bb ||so ||baopp || era ||ibb ||wp ||hbp ||bk ||bfp ||gf || r ||sh ||sf ||g_idp becanbu01 ||1884 || WS || NY4 || AA ||0 ||1 ||1 || 1 || 1 || 0 || 0 || 18 ||9 || 7 || 0 || 2 || 1 || ||10.5 || || || || || || 0 ||12 || || || */ CREATE TABLE salary ( year INTEGER, team_id TEXT, league_id TEXT, player_id TEXT, salary INTEGER) /* 1 example row: SELECT * FROM salary LIMIT 1; year ||team_id ||league_id ||player_id ||salary 1985 || ATL || NL ||barkele01 ||870000 */ CREATE TABLE college ( college_id TEXT, name_full TEXT, city TEXT, state TEXT, country TEXT) /* 1 example row: SELECT * FROM college LIMIT 1; college_id || name_full || city ||state ||country abilchrist ||Abilene Christian University ||Abilene || TX || USA */ CREATE TABLE postseason ( year INTEGER, round TEXT, team_id_winner TEXT, league_id_winner TEXT, team_id_loser TEXT, league_id_loser TEXT, wins INTEGER, losses INTEGER, ties INTEGER) /* 1 example row: SELECT * FROM postseason LIMIT 1; year ||round ||team_id_winner ||league_id_winner ||team_id_loser ||league_id_loser ||wins ||losses ||ties 1884 || WS || PRO || NL || NYP || AA || 3 || 0 || 0 */ CREATE TABLE team ( year INTEGER, league_id TEXT, team_id TEXT, franchise_id TEXT, div_id TEXT, rank INTEGER, g INTEGER, ghome NUMERIC, w INTEGER, l INTEGER, div_win TEXT, wc_win TEXT, lg_win TEXT, ws_win TEXT, r INTEGER, ab INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, bb INTEGER, so NUMERIC, sb NUMERIC, cs NUMERIC, hbp NUMERIC, sf NUMERIC, ra INTEGER, er INTEGER, era NUMERIC, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, ha INTEGER, hra INTEGER, bba INTEGER, soa INTEGER, e INTEGER, dp NUMERIC, fp NUMERIC, name TEXT, park TEXT, attendance NUMERIC, bpf INTEGER, ppf INTEGER, team_id_br TEXT, team_id_lahman45 TEXT, team_id_retro TEXT) /* 1 example row: SELECT * FROM team LIMIT 1; year ||league_id ||team_id ||franchise_id ||div_id ||rank || g ||ghome || w || l ||div_win ||wc_win ||lg_win ||ws_win || r || ab || h ||double ||triple ||hr ||bb ||so ||sb ||cs ||hbp ||sf || ra || er || era ||cg ||sho ||sv ||ipouts || ha ||hra ||bba ||soa || e ||dp || fp || name || park ||attendance ||bpf ||ppf ||team_id_br ||team_id_lahman45 ||team_id_retro 1871 || || BS1 || BNA || || 3 ||31 || ||20 ||10 || || || N || ||401 ||1372 ||426 || 70 || 37 || 3 ||60 ||19 ||73 || || || ||303 ||109 ||3.55 ||22 || 1 || 3 || 828 ||367 || 2 || 42 || 23 ||225 || ||0.83 ||Boston Red Stockings ||South End Grounds I || ||103 || 98 || BOS || BS1 || BS1 */ CREATE TABLE team_franchise ( franchise_id TEXT, franchise_name TEXT, active TEXT, na_assoc TEXT) /* 1 example row: SELECT * FROM team_franchise LIMIT 1; franchise_id || franchise_name ||active ||na_assoc ALT ||Altoona Mountain City || N || */ CREATE TABLE team_half ( year INTEGER, league_id TEXT, team_id TEXT, half INTEGER, div_id TEXT, div_win TEXT, rank INTEGER, g INTEGER, w INTEGER, l INTEGER) /* 1 example row: SELECT * FROM team_half LIMIT 1; year ||league_id ||team_id ||half ||div_id ||div_win ||rank || g || w || l 1981 || NL || ATL || 1 || W || N || 4 ||54 ||25 ||29 */