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BIRD_for_augment_sql2question

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What is the oldest age among the students?
[query_database(**{'query': 'SELECT max(Age) FROM STUDENT'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,455
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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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What are the first names of all the students aged above 22?
[query_database(**{'query': 'SELECT Fname FROM STUDENT WHERE Age > 22'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,459
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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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the average age of female students.
[query_database(**{'query': 'SELECT avg(Age) FROM STUDENT WHERE Sex = "F"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,463
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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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Show the advisors of the students whose city of residence has city code "BAL".
[query_database(**{'query': 'SELECT Advisor FROM STUDENT WHERE city_code = "BAL"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,467
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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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Show all the distinct president votes made on 08/30/2015.
[query_database(**{'query': 'SELECT DISTINCT PRESIDENT_Vote FROM VOTING_RECORD WHERE Registration_Date = "08/30/2015"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,471
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question List all the distinct president votes and the vice president votes.
[query_database(**{'query': 'SELECT DISTINCT President_Vote , VICE_President_Vote FROM VOTING_RECORD'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,475
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What are the distinct first names of the students who have class president votes?
[query_database(**{'query': 'SELECT DISTINCT T1.Fname FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.CLASS_Senator_VOTE'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,479
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Who served as an advisor for students who have treasurer votes in the spring election cycle?
[query_database(**{'query': 'SELECT DISTINCT T1.Advisor FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.Treasurer_Vote WHERE T2.Election_Cycle = "Spring"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,483
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What are the first and last names of all the female students who have president votes?
[query_database(**{'query': 'SELECT DISTINCT T1.Fname , T1.LName FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.President_VOTE WHERE T1.sex = "F"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,487
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Count the number of male students who had class senator votes in the fall election cycle.
[query_database(**{'query': 'SELECT count(*) FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = Class_Senator_Vote WHERE T1.Sex = "M" AND T2.Election_Cycle = "Fall"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,490
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the average age of students who live in the city with code "NYC" and have secretary votes in the spring election cycle.
[query_database(**{'query': 'SELECT avg(T1.Age) FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = SECRETARY_Vote WHERE T1.city_code = "NYC" AND T2.Election_Cycle = "Spring"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,494
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the distinct first names of all the students who have vice president votes and whose city code is not PIT.
[query_database(**{'query': 'SELECT DISTINCT T1.Fname FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.VICE_PRESIDENT_Vote EXCEPT SELECT DISTINCT Fname FROM STUDENT WHERE city_code = "PIT"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,498
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the distinct last names of all the students who have president votes and whose advisor is 8741.
[query_database(**{'query': 'SELECT DISTINCT T1.LName FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = PRESIDENT_Vote INTERSECT SELECT DISTINCT LName FROM STUDENT WHERE Advisor = "8741"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,503
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Which advisors have more than two students?
[query_database(**{'query': 'SELECT Advisor FROM STUDENT GROUP BY Advisor 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,507
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Count the number of voting records for each election cycle.
[query_database(**{'query': 'SELECT Election_Cycle , count(*) FROM VOTING_RECORD GROUP BY Election_Cycle'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,511
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the major that is studied by the most female students.
[query_database(**{'query': 'SELECT Major FROM STUDENT WHERE Sex = "F" GROUP BY major ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,515
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Which advisors are advising more than 2 students?
[query_database(**{'query': 'SELECT Advisor FROM STUDENT GROUP BY Advisor 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Count the number of colors.
[query_database(**{'query': 'SELECT count(*) FROM ref_colors'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Return the names and typical buying prices for all products.
[query_database(**{'query': 'SELECT product_name , typical_buying_price FROM products'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the different names of the product characteristics?
[query_database(**{'query': 'SELECT DISTINCT characteristic_name FROM CHARACTERISTICS'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the names, color descriptions, and product descriptions for products in the 'Herbs' category?
[query_database(**{'query': 'SELECT T1.product_name , T2.color_description , T1.product_description FROM products AS T1 JOIN Ref_colors AS T2 ON T1.color_code = T2.color_code WHERE product_category_code = "Herbs"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,535
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question How many products are in the 'Spices' category and have a typical price of over 1000?
[query_database(**{'query': 'SELECT count(*) FROM products WHERE product_category_code = "Spices" AND typical_buying_price > 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 `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What is the code of the category that the product with the name 'flax' belongs to?
[query_database(**{'query': 'SELECT product_category_code FROM products WHERE product_name = "flax"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the descriptions of the categories that products with product descriptions that contain the letter t are in?
[query_database(**{'query': 'SELECT T1.product_category_description FROM ref_product_categories AS T1 JOIN products AS T2 ON T1.product_category_code = T2.product_category_code WHERE T2.product_description LIKE '%t%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Return the color code and description for the product with the name 'chervil'.
[query_database(**{'query': 'SELECT t1.color_code , t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code WHERE t1.product_name = "chervil"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,551
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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 `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the names of products with 'white' as their color description?
[query_database(**{'query': 'SELECT t1.product_name FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code WHERE t2.color_description = "white"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,555
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Count the number of characteristics the product 'sesame' has.
[query_database(**{'query': 'SELECT count(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id WHERE t1.product_name = "sesame"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Return the characteristic names of the 'sesame' product.
[query_database(**{'query': 'SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "sesame"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the names of the characteristics of the product 'sesame' that have the characteristic type code 'Grade'?
[query_database(**{'query': 'SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "sesame" AND t3.characteristic_type_code = "Grade"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Count the number of characteristics of the 'flax' product.
[query_database(**{'query': 'SELECT count(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "flax"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,571
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Count the number of products with the 'hot' charactersitic.
[query_database(**{'query': 'SELECT count(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t3.characteristic_name = "hot"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question How many products have the color description 'red' and the characteristic name 'slow'?
[query_database(**{'query': 'SELECT count(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id JOIN ref_colors AS t4 ON t1.color_code = t4.color_code WHERE t4.color_description = "red" AND t3.characteristic_name = "slow"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Return the unit of measure for 'Herb' products.
[query_database(**{'query': 'SELECT unit_of_measure FROM ref_product_categories WHERE product_category_code = "Herbs"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Return the description and unit of measurement for products in the 'Herbs' category.
[query_database(**{'query': 'SELECT product_category_description , unit_of_measure FROM ref_product_categories WHERE product_category_code = "Herbs"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,587
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the unit of measure and category code for the 'chervil' product?
[query_database(**{'query': 'SELECT t2.unit_of_measure , t2.product_category_code FROM products AS t1 JOIN ref_product_categories AS t2 ON t1.product_category_code = t2.product_category_code WHERE t1.product_name = "chervil"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Return the color description that is most common across all products.
[query_database(**{'query': 'SELECT t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code GROUP BY t2.color_description 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 `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,595
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Return the name of the characteristic that is most common across all products.
[query_database(**{'query': 'SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id GROUP BY t3.characteristic_name 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 `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Give the names of characteristics that are in two or more products?
[query_database(**{'query': 'SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id GROUP BY t3.characteristic_name 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 `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,603
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question List all the event names by year from the most recent to the oldest.
[query_database(**{'query': 'SELECT name FROM event ORDER BY YEAR DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question Find the name of the stadium that has the maximum capacity.
[query_database(**{'query': 'SELECT name FROM stadium ORDER BY capacity 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question Which country has both stadiums with capacity greater than 60000 and stadiums with capacity less than 50000?
[query_database(**{'query': 'SELECT country FROM stadium WHERE capacity > 60000 INTERSECT SELECT country FROM stadium WHERE capacity < 50000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */
5,615
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question Find the names of all swimmers, sorted by their 100 meter scores in ascending order.
[query_database(**{'query': 'SELECT name FROM swimmer ORDER BY meter_100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question Find the names of swimmers who has a result of "win".
[query_database(**{'query': 'SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id WHERE RESULT = 'Win''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question Find the name of the swimmer who has the most records.
[query_database(**{'query': 'SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id GROUP BY t2.swimmer_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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question Find the names of the swimmers who have both "win" and "loss" results in the record.
[query_database(**{'query': 'SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id WHERE RESULT = 'Win' INTERSECT SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id WHERE RESULT = 'Loss''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question How many railways are there?
[query_database(**{'query': 'SELECT count(*) FROM railway'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
5,636
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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 "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question What is the average age for all managers?
[query_database(**{'query': 'SELECT avg(Age) FROM manager'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
5,640
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question Show the names of trains and locations of railways they are in.
[query_database(**{'query': 'SELECT T2.Name , T1.Location FROM railway AS T1 JOIN train AS T2 ON T1.Railway_ID = T2.Railway_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 "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question Show different builders of railways, along with the corresponding number of railways using each builder.
[query_database(**{'query': 'SELECT Builder , COUNT(*) FROM railway GROUP BY Builder'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question List the object number of railways that do not have any trains.
[query_database(**{'query': 'SELECT ObjectNumber FROM railway WHERE Railway_ID NOT IN (SELECT Railway_ID FROM train)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
5,652
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question Show the countries that have managers of age above 50 or below 46.
[query_database(**{'query': 'SELECT Country FROM manager WHERE Age > 50 OR Age < 46'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
5,656
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */ ### Question Show names and phones of customers who do not have address information.
[query_database(**{'query': 'SELECT customer_name , customer_phone FROM customers WHERE customer_id NOT IN (SELECT customer_id FROM customer_address_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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */ ### Question Show the name, phone, and payment method code for all customers in descending order of customer number.
[query_database(**{'query': 'SELECT customer_name , customer_phone , payment_method_code FROM customers ORDER BY customer_number DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */
5,663
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */ ### Question How many products have a price higher than the average?
[query_database(**{'query': 'SELECT count(*) FROM products WHERE product_price > (SELECT avg(product_price) FROM products)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */
5,667
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */ ### Question Show the product type and name for the products with price higher than 1000 or lower than 500.
[query_database(**{'query': 'SELECT product_type_code , product_name FROM products WHERE product_price > 1000 OR product_price < 500'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question How many female students (sex is F) whose age is below 25?
[query_database(**{'query': 'SELECT count(*) FROM student WHERE sex = 'F' AND age < 25'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the first name of students living in city PHL whose age is between 20 and 25.
[query_database(**{'query': 'SELECT fname FROM student WHERE city_code = 'PHL' AND age BETWEEN 20 AND 25'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the number of distinct amenities.
[query_database(**{'query': 'SELECT count(*) FROM dorm_amenity'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,684
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question How many students are there?
[query_database(**{'query': 'SELECT count(*) FROM student'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,688
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the average and total capacity of dorms for the students with gender X.
[query_database(**{'query': 'SELECT avg(student_capacity) , sum(student_capacity) FROM dorm WHERE gender = 'X''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,692
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the name of dorms that do not have any amenity
[query_database(**{'query': 'SELECT dorm_name FROM dorm WHERE dormid NOT IN (SELECT dormid FROM has_amenity)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,695
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question How many different genders are there in the dorms?
[query_database(**{'query': 'SELECT count(DISTINCT gender) FROM dorm'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,700
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the numbers of different majors and cities.
[query_database(**{'query': 'SELECT count(DISTINCT major) , count(DISTINCT city_code) FROM student'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,702
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the name of dorms which have both TV Lounge and Study Room as amenities.
[query_database(**{'query': 'SELECT T1.dorm_name FROM dorm AS T1 JOIN has_amenity AS T2 ON T1.dormid = T2.dormid JOIN dorm_amenity AS T3 ON T2.amenid = T3.amenid WHERE T3.amenity_name = 'TV Lounge' INTERSECT SELECT T1.dorm_name FROM dorm AS T1 JOIN has_amenity AS T2 ON T1.dormid = T2.dormid JOIN dorm_amenity AS T3 ON T2.amenid = T3.amenid WHERE T3.amenity_name = 'Study Room''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,706
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the last name of students who is either female (sex is F) and living in the city of code BAL or male (sex is M) and in age of below 20.
[query_database(**{'query': 'SELECT lname FROM student WHERE sex = 'F' AND city_code = 'BAL' UNION SELECT lname FROM student WHERE sex = 'M' AND age < 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What are the different dorm amenity names in alphabetical order?
[query_database(**{'query': 'SELECT amenity_name FROM dorm_amenity ORDER BY amenity_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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,715
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What is the first and last name of all students who are younger than average?
[query_database(**{'query': 'SELECT fname , lname FROM student WHERE age < (SELECT avg(age) FROM student)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,719
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What are the amenities in alphabetical order that Anonymous Donor Hall has?
[query_database(**{'query': 'SELECT T1.amenity_name FROM dorm_amenity AS T1 JOIN has_amenity AS T2 ON T2.amenid = T1.amenid JOIN dorm AS T3 ON T2.dormid = T3.dormid WHERE T3.dorm_name = 'Anonymous Donor Hall' ORDER BY T1.amenity_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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What is the average and oldest age for each gender of student?
[query_database(**{'query': 'SELECT avg(age) , max(age) , sex FROM student GROUP BY sex'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,727
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question How many students live in each city and what are their average ages?
[query_database(**{'query': 'SELECT count(*) , avg(age) , city_code FROM student GROUP BY city_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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question How many students are from each city, and which cities have more than one cities?
[query_database(**{'query': 'SELECT count(*) , city_code FROM student GROUP BY city_code 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,735
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question How many students are older than average for each gender?
[query_database(**{'query': 'SELECT count(*) , sex FROM student WHERE age > (SELECT avg(age) FROM student) GROUP BY sex'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,739
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question For each dorm, how many amenities does it have?
[query_database(**{'query': 'SELECT count(*) , T1.dormid FROM dorm AS T1 JOIN has_amenity AS T2 ON T1.dormid = T2.dormid WHERE T1.student_capacity > 100 GROUP BY T1.dormid'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,743
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What are the first names of all students in Smith Hall?
[query_database(**{'query': 'SELECT T1.fname FROM student AS T1 JOIN lives_in AS T2 ON T1.stuid = T2.stuid JOIN dorm AS T3 ON T3.dormid = T2.dormid WHERE T3.dorm_name = 'Smith Hall''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,747
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What are the total number of students who are living in a male dorm?
[query_database(**{'query': 'SELECT count(*) FROM student AS T1 JOIN lives_in AS T2 ON T1.stuid = T2.stuid JOIN dorm AS T3 ON T3.dormid = T2.dormid WHERE T3.gender = '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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,751
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What are the names of the amenities that Smith Hall has?
[query_database(**{'query': 'SELECT T3.amenity_name FROM dorm AS T1 JOIN has_amenity AS T2 ON T1.dormid = T2.dormid JOIN dorm_amenity AS T3 ON T2.amenid = T3.amenid WHERE T1.dorm_name = 'Smith Hall''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,755
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What is the most common amenity in the dorms?
[query_database(**{'query': 'SELECT T1.amenity_name FROM dorm_amenity AS T1 JOIN has_amenity AS T2 ON T1.amenid = T2.amenid GROUP BY T2.amenid ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,759
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What is the name and capacity of the dorm with the fewest amount of amenities?
[query_database(**{'query': 'SELECT T1.dorm_name , T1.student_capacity FROM dorm AS T1 JOIN has_amenity AS T2 ON T1.dormid = T2.dormid JOIN dorm_amenity AS T3 ON T2.amenid = T3.amenid GROUP BY T2.dormid 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,763
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What are the first and last names of all students who are living in a dorm with a TV Lounge?
[query_database(**{'query': 'SELECT T1.fname , T1.lname FROM student AS T1 JOIN lives_in AS T2 ON T1.stuid = T2.stuid WHERE T2.dormid IN (SELECT T3.dormid FROM has_amenity AS T3 JOIN dorm_amenity AS T4 ON T3.amenid = T4.amenid WHERE T4.amenity_name = 'TV Lounge')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the name of amenities of the dorm where the student with last name Smith is living in.
[query_database(**{'query': 'SELECT T3.amenity_name FROM dorm AS T1 JOIN has_amenity AS T2 ON T1.dormid = T2.dormid JOIN dorm_amenity AS T3 ON T2.amenid = T3.amenid JOIN lives_in AS T4 ON T4.dormid = T1.dormid JOIN student AS T5 ON T5.stuid = T4.stuid WHERE T5.lname = 'Smith''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Find the emails and phone numbers of all the customers, ordered by email address and phone number.
[query_database(**{'query': 'SELECT email_address , phone_number FROM customers ORDER BY email_address , phone_number'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Return the city with the customer type code "Good Credit Rating" that had the fewest customers.
[query_database(**{'query': 'SELECT town_city FROM customers WHERE customer_type_code = "Good Credit Rating" GROUP BY town_city 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 `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question What are the emails of customers who have filed complaints on the product which has had the greatest number of complaints?
[query_database(**{'query': 'SELECT t1.email_address FROM customers AS t1 JOIN complaints AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_id 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 `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Return the phone number of the customer who filed the complaint that was raised most recently.
[query_database(**{'query': 'SELECT t1.phone_number FROM customers AS t1 JOIN complaints AS t2 ON t1.customer_id = t2.customer_id ORDER BY t2.date_complaint_raised 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 `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Find the phone number of all the customers and staff.
[query_database(**{'query': 'SELECT phone_number FROM customers UNION SELECT phone_number FROM staff'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Find the name and category of the most expensive product.
[query_database(**{'query': 'SELECT product_name , product_category_code FROM products ORDER BY product_price DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
5,792
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question What is the average price of the products for each category?
[query_database(**{'query': 'SELECT avg(product_price) , product_category_code FROM products GROUP BY product_category_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 `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Which complaint status has more than 3 records on file?
[query_database(**{'query': 'SELECT complaint_status_code FROM complaints GROUP BY complaint_status_code HAVING count(*) > 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
5,800
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question How many customers are there in the customer type with the most customers?
[query_database(**{'query': 'SELECT count(*) FROM customers GROUP BY customer_type_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 `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question How many distinct complaint type codes are there in the database?
[query_database(**{'query': 'SELECT count(DISTINCT complaint_type_code) FROM complaints'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
5,808
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Find the number of complaints with Product Failure type for each complaint status.
[query_database(**{'query': 'SELECT complaint_status_code , count(*) FROM complaints WHERE complaint_type_code = "Product Failure" GROUP BY complaint_status_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 `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Which state has the most customers?
[query_database(**{'query': 'SELECT state FROM customers GROUP BY state 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 `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
5,816
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */ ### Question List the authors of submissions in ascending order of scores.
[query_database(**{'query': 'SELECT Author FROM submission ORDER BY Scores 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 "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */ ### Question Show the names of authors from college "Florida" or "Temple"
[query_database(**{'query': 'SELECT Author FROM submission WHERE College = "Florida" OR College = "Temple"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */ ### Question What is the author of the submission with the highest score?
[query_database(**{'query': 'SELECT Author FROM submission ORDER BY Scores 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 "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */ ### Question Show the most common college of authors of submissions.
[query_database(**{'query': 'SELECT College FROM submission GROUP BY College 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 "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */ ### Question Show the authors of submissions and the acceptance results of their submissions.
[query_database(**{'query': 'SELECT T2.Author , T1.Result FROM acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_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 "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */ ### Question Show each author and the number of workshops they submitted to.
[query_database(**{'query': 'SELECT T2.Author , COUNT(DISTINCT T1.workshop_id) FROM acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID GROUP BY T2.Author'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */ ### Question Show the date and venue of each workshop in ascending alphabetical order of the venue.
[query_database(**{'query': 'SELECT Date , Venue FROM workshop ORDER BY Venue'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Investors` ( `investor_id` INTEGER PRIMARY KEY, `Investor_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM investors LIMIT 1; investor_id ||Investor_details 1 || z */ CREATE TABLE `Lots` ( `lot_id` INTEGER PRIMARY KEY, `investor_id` INTEGER NOT NULL, `lot_details` VARCHAR(255), FOREIGN KEY (`investor_id` ) REFERENCES `Investors`(`investor_id` ) ) /* 1 example row: SELECT * FROM lots LIMIT 1; lot_id ||investor_id ||lot_details 1 || 13 || r */ CREATE TABLE `Ref_Transaction_Types` ( `transaction_type_code` VARCHAR(10) PRIMARY KEY, `transaction_type_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM ref_transaction_types LIMIT 1; transaction_type_code ||transaction_type_description SALE || Sale */ CREATE TABLE `Transactions` ( `transaction_id` INTEGER PRIMARY KEY, `investor_id` INTEGER NOT NULL, `transaction_type_code` VARCHAR(10) NOT NULL, `date_of_transaction` DATETIME, `amount_of_transaction` DECIMAL(19,4), `share_count` VARCHAR(40), `other_details` VARCHAR(255), FOREIGN KEY (`investor_id` ) REFERENCES `Investors`(`investor_id` ),FOREIGN KEY (`transaction_type_code` ) REFERENCES `Ref_Transaction_Types`(`transaction_type_code` ) ) /* 1 example row: SELECT * FROM transactions LIMIT 1; transaction_id ||investor_id ||transaction_type_code ||date_of_transaction ||amount_of_transaction ||share_count ||other_details 1 || 6 || SALE ||1988-09-16 19:02:51 || 302507.6996 || 8718572 || None */ CREATE TABLE `Sales` ( `sales_transaction_id` INTEGER PRIMARY KEY, `sales_details` VARCHAR(255), FOREIGN KEY (`sales_transaction_id` ) REFERENCES `Transactions`(`transaction_id` ) ) /* 1 example row: SELECT * FROM sales LIMIT 1; sales_transaction_id ||sales_details 1 || x */ CREATE TABLE `Purchases` ( `purchase_transaction_id` INTEGER NOT NULL, `purchase_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`purchase_transaction_id` ) REFERENCES `Transactions`(`transaction_id` ) ) /* 1 example row: SELECT * FROM purchases LIMIT 1; purchase_transaction_id ||purchase_details 1 || c */ CREATE TABLE `Transactions_Lots` ( `transaction_id` INTEGER NOT NULL, `lot_id` INTEGER NOT NULL, FOREIGN KEY (`lot_id` ) REFERENCES `Lots`(`lot_id` ), FOREIGN KEY (`transaction_id` ) REFERENCES `Transactions`(`transaction_id` ) ) /* 1 example row: SELECT * FROM transactions_lots LIMIT 1; transaction_id ||lot_id 3 || 11 */ ### Question Find the number of investors in total.
[query_database(**{'query': 'SELECT count(*) FROM INVESTORS'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Investors` ( `investor_id` INTEGER PRIMARY KEY, `Investor_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM investors LIMIT 1; investor_id ||Investor_details 1 || z */ CREATE TABLE `Lots` ( `lot_id` INTEGER PRIMARY KEY, `investor_id` INTEGER NOT NULL, `lot_details` VARCHAR(255), FOREIGN KEY (`investor_id` ) REFERENCES `Investors`(`investor_id` ) ) /* 1 example row: SELECT * FROM lots LIMIT 1; lot_id ||investor_id ||lot_details 1 || 13 || r */ CREATE TABLE `Ref_Transaction_Types` ( `transaction_type_code` VARCHAR(10) PRIMARY KEY, `transaction_type_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM ref_transaction_types LIMIT 1; transaction_type_code ||transaction_type_description SALE || Sale */ CREATE TABLE `Transactions` ( `transaction_id` INTEGER PRIMARY KEY, `investor_id` INTEGER NOT NULL, `transaction_type_code` VARCHAR(10) NOT NULL, `date_of_transaction` DATETIME, `amount_of_transaction` DECIMAL(19,4), `share_count` VARCHAR(40), `other_details` VARCHAR(255), FOREIGN KEY (`investor_id` ) REFERENCES `Investors`(`investor_id` ),FOREIGN KEY (`transaction_type_code` ) REFERENCES `Ref_Transaction_Types`(`transaction_type_code` ) ) /* 1 example row: SELECT * FROM transactions LIMIT 1; transaction_id ||investor_id ||transaction_type_code ||date_of_transaction ||amount_of_transaction ||share_count ||other_details 1 || 6 || SALE ||1988-09-16 19:02:51 || 302507.6996 || 8718572 || None */ CREATE TABLE `Sales` ( `sales_transaction_id` INTEGER PRIMARY KEY, `sales_details` VARCHAR(255), FOREIGN KEY (`sales_transaction_id` ) REFERENCES `Transactions`(`transaction_id` ) ) /* 1 example row: SELECT * FROM sales LIMIT 1; sales_transaction_id ||sales_details 1 || x */ CREATE TABLE `Purchases` ( `purchase_transaction_id` INTEGER NOT NULL, `purchase_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`purchase_transaction_id` ) REFERENCES `Transactions`(`transaction_id` ) ) /* 1 example row: SELECT * FROM purchases LIMIT 1; purchase_transaction_id ||purchase_details 1 || c */ CREATE TABLE `Transactions_Lots` ( `transaction_id` INTEGER NOT NULL, `lot_id` INTEGER NOT NULL, FOREIGN KEY (`lot_id` ) REFERENCES `Lots`(`lot_id` ), FOREIGN KEY (`transaction_id` ) REFERENCES `Transactions`(`transaction_id` ) ) /* 1 example row: SELECT * FROM transactions_lots LIMIT 1; transaction_id ||lot_id 3 || 11 */