Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
1
q_id
int64
0
9.43k
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sequencelengths
450
49.1k
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1.82k
193k
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stringlengths
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837
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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 How many students enrolled in class ACCT-211?
[query_database(**{'query': 'SELECT count(*) FROM CLASS AS T1 JOIN enroll AS T2 ON T1.class_code = T2.class_code WHERE T1.crs_code = 'ACCT-211''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 of students enrolled in class ACCT-211 and got grade C?
[query_database(**{'query': 'SELECT T3.stu_fname FROM CLASS AS T1 JOIN enroll AS T2 ON T1.class_code = T2.class_code JOIN student AS T3 ON T2.stu_num = T3.stu_num WHERE T1.crs_code = 'ACCT-211' AND T2.enroll_grade = 'C''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 do have a Ph.D. degree?
[query_database(**{'query': 'SELECT count(*) FROM professor WHERE prof_high_degree = 'Ph.D.''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 that has the largest number of 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 List the codes of all courses that take place 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 Find the first names and offices of all professors sorted by alphabetical order of their 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, last name, gpa of the youngest one among students whose GPA is above 3?
[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 department where has the smallest number of 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 the professors who do not teach a class.
[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 is the last name and office of the professor from the history department?
[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 Find the last name and hire date of the professor who is in office DRE 102.
[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 course codes for every class that the student with the last name Smithson took?
[query_database(**{'query': 'SELECT T1.crs_code 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 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 attained either Ph.D. or Masters degrees?
[query_database(**{'query': 'SELECT count(*) FROM professor WHERE prof_high_degree = 'Ph.D.' OR prof_high_degree = 'MA''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 of the professor who is teaching CIS-220 and QM-261?
[query_database(**{'query': 'SELECT T1.emp_fname FROM employee AS T1 JOIN CLASS AS T2 ON T1.emp_num = T2.prof_num WHERE crs_code = 'CIS-220' INTERSECT SELECT T1.emp_fname FROM employee AS T1 JOIN CLASS AS T2 ON T1.emp_num = T2.prof_num WHERE crs_code = 'QM-261''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 average GPA of students taking ACCT-211?
[query_database(**{'query': 'SELECT avg(T2.stu_gpa) FROM enroll AS T1 JOIN student AS T2 ON T1.stu_num = T2.stu_num JOIN CLASS AS T3 ON T1.class_code = T3.class_code WHERE T3.crs_code = 'ACCT-211''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
3,300
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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 student that has the lowest GPA?
[query_database(**{'query': 'SELECT T2.dept_name FROM student AS T1 JOIN department AS T2 ON T1.dept_code = T2.dept_code ORDER BY stu_gpa 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 and address of the department with the most students?
[query_database(**{'query': 'SELECT T2.dept_name , T2.dept_address 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 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 and office of the professors who are in the history department and have a Ph.D?
[query_database(**{'query': 'SELECT T1.emp_fname , T2.prof_office FROM employee AS T1 JOIN professor AS T2 ON T1.emp_num = T2.emp_num JOIN department AS T3 ON T3.dept_code = T2.dept_code WHERE T3.dept_name = 'History' AND T2.prof_high_degree = 'Ph.D.''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 teachers who have taught a course and the corresponding descriptions?
[query_database(**{'query': 'SELECT T2.emp_fname , 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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, office locations, and departments of all instructors, and also what are the descriptions of the courses they teach?
[query_database(**{'query': 'SELECT T2.emp_fname , T4.prof_office , T3.crs_description , T5.dept_name 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 JOIN department AS T5 ON T4.dept_code = T5.dept_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 */
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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 names of all students taking a course who received an A or C?
[query_database(**{'query': 'SELECT T1.stu_fname , T1.stu_lname FROM student AS T1 JOIN enroll AS T2 ON T1.stu_num = T2.stu_num WHERE T2.enroll_grade = 'C' OR T2.enroll_grade = 'A''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 different first names and highest degree attained for professors teaching in the Computer Information Systems department?
[query_database(**{'query': 'SELECT DISTINCT T2.emp_fname , T3.prof_high_degree 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 = '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 are the first names and offices of history professors who don't have Ph.D.s?
[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 JOIN department AS T3 ON T1.dept_code = T3.dept_code WHERE T3.dept_name = 'History' AND T1.prof_high_degree != 'Ph.D.''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 student who only took one course?
[query_database(**{'query': 'SELECT T1.stu_fname FROM student AS T1 JOIN enroll AS T2 ON T1.stu_num = T2.stu_num GROUP BY T2.stu_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 What is the first name of the student whose last name starts with the letter S and is taking ACCT-211?
[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 WHERE T3.crs_code = 'ACCT-211' AND T1.stu_lname LIKE 'S%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What is the average number of gold medals for clubs?
[query_database(**{'query': 'SELECT avg(Gold) 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 */
3,344
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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 of every competition and in which countries are they located?
[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 all the 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 What are the names of all the clubs starting with the oldest?
[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 What are the names and players of all the 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 */
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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 number of points for players from the "AIB" club?
[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 */
3,364
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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 positions of players whose average number of points scored by that position is larger 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 What is the most common competition type?
[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 What are the names of all 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 What is the total number of points for 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 names of all players that got more than the average number of 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 */
3,383
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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 which country did participated in the most number of 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 Find the countries that have never participated in any competition with Friendly type.
[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 total market rate of the furnitures that have the top 2 market shares.
[query_database(**{'query': 'SELECT sum(market_rate) FROM furniture ORDER BY market_rate DESC LIMIT 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
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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 average number of factories for the manufacturers that have more than 20 shops.
[query_database(**{'query': 'SELECT avg(Num_of_Factories) FROM manufacturer WHERE num_of_shops > 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 "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 */
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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 id and number of shops for the company that produces the most expensive furniture.
[query_database(**{'query': 'SELECT t1.manufacturer_id , t1.num_of_shops FROM manufacturer AS t1 JOIN furniture_manufacte AS t2 ON t1.manufacturer_id = t2.manufacturer_id ORDER BY t2.Price_in_Dollar 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 */
3,404
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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 name of the company that produces both furnitures with less than 6 components and furnitures with more than 10 components.
[query_database(**{'query': 'SELECT t3.name FROM furniture AS t1 JOIN furniture_manufacte AS t2 ON t1.Furniture_ID = t2.Furniture_ID JOIN manufacturer AS t3 ON t2.manufacturer_id = t3.manufacturer_id WHERE t1.num_of_component < 6 INTERSECT SELECT t3.name FROM furniture AS t1 JOIN furniture_manufacte AS t2 ON t1.Furniture_ID = t2.Furniture_ID JOIN manufacturer AS t3 ON t2.manufacturer_id = t3.manufacturer_id WHERE t1.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 */
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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 and salaries for any employees earning less than 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 */
3,412
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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 all the employees without a 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 */
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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 On what dates were employees without the letter M in their first names hired?
[query_database(**{'query': 'SELECT hire_date 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 */
3,420
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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 data, salary and department id for employees without the letter M in their first name, ordered by ascending department id?
[query_database(**{'query': 'SELECT first_name , last_name , hire_date , salary , department_id FROM employees WHERE first_name NOT LIKE '%M%' ORDER 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 */
3,424
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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 information about employees with salaries between 8000 and 12000 for which commission is not null or where their department id is not 40.
[query_database(**{'query': 'SELECT * FROM employees WHERE salary BETWEEN 8000 AND 12000 AND commission_pct != "null" OR department_id != 40'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Display the first and last name, and salary for those employees whose first name is ending 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 */
3,431
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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 first and last name for those employees who works either 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 */
3,435
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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 details from Employees table for those employees who was hired before 2002-06-21.
[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 */
3,439
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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 joined after 7th September, 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 */
3,443
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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 job Title, the difference between minimum and maximum salaries for those jobs which max salary within the range 12000 to 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 */
3,447
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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 for each employee and the date on which he ended his previous 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 */
3,451
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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 ids of the 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 */
3,455
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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 country ID and number of cities for 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 */
3,459
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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 ID for those employees who did two or more jobs in the past.
[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 */
3,463
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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 name and number of employees in each of the department.
[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 */
3,467
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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 job title and average salary of employees.
[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 */
3,472
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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 minimum salary in each department?
[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 */
3,476
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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 make more than the average?
[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 */
3,480
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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 names of departments that have at least one employee.
[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 */
3,484
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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 */
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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 distinct department ids of departments in which a manager is in charge of 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 */
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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 and job titles for employees 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 */
3,497
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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 ids of the employees who does not work in those departments where some employees works whose manager id within the range 100 and 200.
[query_database(**{'query': 'SELECT * FROM employees WHERE department_id NOT IN (SELECT department_id FROM departments WHERE manager_id BETWEEN 100 AND 200)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
3,501
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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 excluding 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") AND 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 */
3,505
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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, name( first name and last name ), and salary for all employees who earn more than the average salary and who work in a department with any employee with a 'J' in their first name.
[query_database(**{'query': 'SELECT employee_id , first_name , last_name , salary FROM employees WHERE salary > ( SELECT AVG (salary) FROM employees ) AND department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%J%')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
3,508
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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 and job ids for employees who make less than the lowest earning employee with title 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 */
3,512
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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 total salaries and department id for each department that has more than 2 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 */
3,516
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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 department ids, full names, and salaries for employees who make the most in their departments?
[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 */
3,520
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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 and cities of employees who have the letter Z in their first names?
[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 */
3,524
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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 the full names, ids of each employee and the name of the country they are in?
[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 */
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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 name of the song that was released in the most recent year?
[query_database(**{'query': 'SELECT song_name , releasedate FROM song ORDER BY releasedate 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 id of the song that lasts the longest.
[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 songs whose format is mp3.
[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 List the file size and format for all songs that have 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 and countries of origin for the artists who produced the top three highly rated songs.
[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 artists are from Bangladesh?
[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 */
3,551
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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 most popular file format?
[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 Find the id of songs that are available in mp4 format and have resolution lower 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 duration of songs that have mp3 format and 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 rating of songs 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 For each file format, return the number of artists who released songs in that 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 all songs that have a lower rating than some song of blues genre?
[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 List the name and gender for all artists who released songs in 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 Give me a list of the names of all songs ordered by their resolution.
[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 List the names of all songs that have 4 minute duration 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 name of the artist, for each language, that has the most songs with a higher resolution than 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 What are the names of the songs that are modern or sung in 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 What are the names of all singers that are from the UK and released a song in English?
[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 */
3,600
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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 maximum and minimum resolution of all songs that are approximately 3 minutes long?
[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 is the shortest and most poorly rated song for each genre, ordered alphabetically 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 What is the name and country of origin for each artist who has released a song with a resolution higher than 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 What country is the artist who made the fewest songs from?
[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 the id of every song that has a resolution higher than that of a song with a rating below 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 What are the top 3 artists with the largest number of songs in the language 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 What is the duration, file size, and song format for every pop song, ordered by title alphabetically?
[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 What are the names of the different artists from Bangladesh who never received a rating higher than a 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 Compute the average salary of the players in the team called '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 */
3,636
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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 player has the most all star game experiences? Give me the first name, last name and id of the player, as well as the number of times the player participated in all star game.
[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 */