Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
1
q_id
int64
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9.43k
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sequencelengths
450
49.1k
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1.82k
193k
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837
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215 values
4,246
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_Document_Types ( Document_Type_Code CHAR(15) NOT NULL, Document_Type_Name VARCHAR(255) NOT NULL, Document_Type_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Document_Type_Code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; Document_Type_Code ||Document_Type_Name ||Document_Type_Description CV || CV || */ CREATE TABLE Ref_Calendar ( Calendar_Date DATETIME NOT NULL, Day_Number INTEGER, PRIMARY KEY (Calendar_Date) ) /* 1 example row: SELECT * FROM ref_calendar LIMIT 1; Calendar_Date ||Day_Number 1972-03-31 09:47:22 || 5 */ CREATE TABLE Ref_Locations ( Location_Code CHAR(15) NOT NULL, Location_Name VARCHAR(255) NOT NULL, Location_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Location_Code) ) /* 1 example row: SELECT * FROM ref_locations LIMIT 1; Location_Code ||Location_Name ||Location_Description b || Brazil || */ CREATE TABLE Roles ( Role_Code CHAR(15) NOT NULL, Role_Name VARCHAR(255), Role_Description VARCHAR(255), PRIMARY KEY (Role_Code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; Role_Code ||Role_Name || Role_Description MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti. */ CREATE TABLE All_Documents ( Document_ID INTEGER NOT NULL, Date_Stored DATETIME, Document_Type_Code CHAR(15) NOT NULL, Document_Name CHAR(255), Document_Description CHAR(255), Other_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code), FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date) ) /* 1 example row: SELECT * FROM all_documents LIMIT 1; Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details 7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None */ CREATE TABLE Employees ( Employee_ID INTEGER NOT NULL, Role_Code CHAR(15) NOT NULL, Employee_Name VARCHAR(255), Gender_MFU CHAR(1) NOT NULL, Date_of_Birth DATETIME NOT NULL, Other_Details VARCHAR(255), PRIMARY KEY (Employee_ID), FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details 25 || HR || Leo || ||1973-02-15 17:16:00 || None */ CREATE TABLE Document_Locations ( Document_ID INTEGER NOT NULL, Location_Code CHAR(15) NOT NULL, Date_in_Location_From DATETIME NOT NULL, Date_in_Locaton_To DATETIME, PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From), FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code), FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date), FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date), FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID) ) /* 1 example row: SELECT * FROM document_locations LIMIT 1; Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To 7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38 */ CREATE TABLE Documents_to_be_Destroyed ( Document_ID INTEGER NOT NULL, Destruction_Authorised_by_Employee_ID INTEGER, Destroyed_by_Employee_ID INTEGER, Planned_Destruction_Date DATETIME, Actual_Destruction_Date DATETIME, Other_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID), FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID), FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date), FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date), FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID) ) /* 1 example row: SELECT * FROM documents_to_be_destroyed LIMIT 1; Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details 7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None */ ### Question Show the ids of all employees who don't destroy any document.
[query_database(**{'query': 'SELECT employee_id FROM Employees EXCEPT SELECT Destroyed_by_Employee_ID FROM Documents_to_be_destroyed'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_Document_Types ( Document_Type_Code CHAR(15) NOT NULL, Document_Type_Name VARCHAR(255) NOT NULL, Document_Type_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Document_Type_Code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; Document_Type_Code ||Document_Type_Name ||Document_Type_Description CV || CV || */ CREATE TABLE Ref_Calendar ( Calendar_Date DATETIME NOT NULL, Day_Number INTEGER, PRIMARY KEY (Calendar_Date) ) /* 1 example row: SELECT * FROM ref_calendar LIMIT 1; Calendar_Date ||Day_Number 1972-03-31 09:47:22 || 5 */ CREATE TABLE Ref_Locations ( Location_Code CHAR(15) NOT NULL, Location_Name VARCHAR(255) NOT NULL, Location_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Location_Code) ) /* 1 example row: SELECT * FROM ref_locations LIMIT 1; Location_Code ||Location_Name ||Location_Description b || Brazil || */ CREATE TABLE Roles ( Role_Code CHAR(15) NOT NULL, Role_Name VARCHAR(255), Role_Description VARCHAR(255), PRIMARY KEY (Role_Code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; Role_Code ||Role_Name || Role_Description MG || Manager ||Vero harum corrupti odit ipsa vero et odio. Iste et recusandae temporibus maxime. Magni aspernatur fugit quis explicabo totam esse corrupti. */ CREATE TABLE All_Documents ( Document_ID INTEGER NOT NULL, Date_Stored DATETIME, Document_Type_Code CHAR(15) NOT NULL, Document_Name CHAR(255), Document_Description CHAR(255), Other_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code), FOREIGN KEY (Date_Stored) REFERENCES Ref_Calendar (Calendar_Date) ) /* 1 example row: SELECT * FROM all_documents LIMIT 1; Document_ID || Date_Stored ||Document_Type_Code ||Document_Name ||Document_Description ||Other_Details 7 ||1976-06-15 03:40:06 || CV || Robin CV || None || None */ CREATE TABLE Employees ( Employee_ID INTEGER NOT NULL, Role_Code CHAR(15) NOT NULL, Employee_Name VARCHAR(255), Gender_MFU CHAR(1) NOT NULL, Date_of_Birth DATETIME NOT NULL, Other_Details VARCHAR(255), PRIMARY KEY (Employee_ID), FOREIGN KEY (Role_Code) REFERENCES Roles (Role_Code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; Employee_ID ||Role_Code ||Employee_Name ||Gender_MFU || Date_of_Birth ||Other_Details 25 || HR || Leo || ||1973-02-15 17:16:00 || None */ CREATE TABLE Document_Locations ( Document_ID INTEGER NOT NULL, Location_Code CHAR(15) NOT NULL, Date_in_Location_From DATETIME NOT NULL, Date_in_Locaton_To DATETIME, PRIMARY KEY (Document_ID, Location_Code, Date_in_Location_From), FOREIGN KEY (Location_Code) REFERENCES Ref_Locations (Location_Code), FOREIGN KEY (Date_in_Location_From) REFERENCES Ref_Calendar (Calendar_Date), FOREIGN KEY (Date_in_Locaton_To) REFERENCES Ref_Calendar (Calendar_Date), FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID) ) /* 1 example row: SELECT * FROM document_locations LIMIT 1; Document_ID ||Location_Code ||Date_in_Location_From || Date_in_Locaton_To 7 || e || 2017-01-06 23:17:22 ||2008-06-08 12:45:38 */ CREATE TABLE Documents_to_be_Destroyed ( Document_ID INTEGER NOT NULL, Destruction_Authorised_by_Employee_ID INTEGER, Destroyed_by_Employee_ID INTEGER, Planned_Destruction_Date DATETIME, Actual_Destruction_Date DATETIME, Other_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Destroyed_by_Employee_ID) REFERENCES Employees (Employee_ID), FOREIGN KEY (Destruction_Authorised_by_Employee_ID) REFERENCES Employees (Employee_ID), FOREIGN KEY (Planned_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date), FOREIGN KEY (Actual_Destruction_Date) REFERENCES Ref_Calendar (Calendar_Date), FOREIGN KEY (Document_ID) REFERENCES All_Documents (Document_ID) ) /* 1 example row: SELECT * FROM documents_to_be_destroyed LIMIT 1; Document_ID ||Destruction_Authorised_by_Employee_ID ||Destroyed_by_Employee_ID ||Planned_Destruction_Date ||Actual_Destruction_Date ||Other_Details 7 || 156 || 138 || 1988-02-01 14:41:52 || 2017-01-06 23:17:22 || None */
4,250
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question How many clubs are there?
[query_database(**{'query': 'SELECT count(*) FROM club'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question What are the names of all clubs?
[query_database(**{'query': 'SELECT clubname FROM club'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question What are the first names of all the students?
[query_database(**{'query': 'SELECT DISTINCT fname 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question Who are the members of the club named "Hopkins Student Enterprises"? Show the last name.
[query_database(**{'query': 'SELECT t3.lname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Hopkins Student Enterprises"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question Find the number of members of club "Pen and Paper Gaming".
[query_database(**{'query': 'SELECT count(*) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Pen and Paper Gaming"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question Find the number of clubs where "Tracy Kim" is a member.
[query_database(**{'query': 'SELECT count(*) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t3.fname = "Tracy" AND t3.lname = "Kim"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question What are the first name and last name of each male member in club "Hopkins Student Enterprises"?
[query_database(**{'query': 'SELECT t3.fname , t3.lname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Hopkins Student Enterprises" AND t3.sex = "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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question Find the club which has the largest number of members majoring in "600".
[query_database(**{'query': 'SELECT t1.clubname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t3.major = "600" GROUP BY t1.clubname 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question Find the description of the club called "Tennis Club".
[query_database(**{'query': 'SELECT clubdesc FROM club WHERE clubname = "Tennis Club"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question Where us the club named "Tennis Club" located?
[query_database(**{'query': 'SELECT clublocation FROM club WHERE clubname = "Tennis Club"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question Tell me the location of the club "Hopkins Student Enterprises".
[query_database(**{'query': 'SELECT clublocation FROM club WHERE clubname = "Hopkins Student Enterprises"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question How many clubs are located at "HHH"?
[query_database(**{'query': 'SELECT count(*) FROM club WHERE clublocation = "HHH"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question Who is the "CTO" of club "Hopkins Student Enterprises"? Show the first name and last name.
[query_database(**{'query': 'SELECT t3.fname , t3.lname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Hopkins Student Enterprises" AND t2.position = "CTO"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question Count the number of members in club "Bootup Baltimore" whose age is above 18.
[query_database(**{'query': 'SELECT count(*) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Bootup Baltimore" AND t3.age > 18'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question Find the names of all the clubs that have at least a member from the city with city code "BAL".
[query_database(**{'query': 'SELECT DISTINCT t1.clubname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t3.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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question How many clubs does the student named "Eric Tai" belong to?
[query_database(**{'query': 'SELECT count(DISTINCT t1.clubname) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t3.fname = "Eric" AND t3.lname = "Tai"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question List the clubs that have at least a member with advisor "1121".
[query_database(**{'query': 'SELECT DISTINCT t1.clubname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t3.advisor = 1121'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question Find the average age of the members in the club "Bootup Baltimore".
[query_database(**{'query': 'SELECT avg(t3.age) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Bootup Baltimore"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */ ### Question Compute the average age of the members in the club "Tennis Club".
[query_database(**{'query': 'SELECT avg(t3.age) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Tennis Club"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 Club ( ClubID INTEGER PRIMARY KEY, ClubName VARCHAR(40), ClubDesc VARCHAR(1024), ClubLocation VARCHAR(40) ) /* 1 example row: SELECT * FROM club LIMIT 1; ClubID || ClubName || ClubDesc ||ClubLocation 1 ||Bootup Baltimore ||Refurbish computers; teach kids and adults about computer basics. || AKW */ CREATE TABLE Member_of_club ( StuID INTEGER, ClubID INTEGER, Position VARCHAR(40), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ClubID) REFERENCES Club(ClubID) ) /* 1 example row: SELECT * FROM member_of_club LIMIT 1; StuID ||ClubID || Position 1001 || 1 ||President */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question What are the details of the project that is producing both patents and papers as outcomes?
[query_database(**{'query': 'SELECT T1.project_details FROM Projects AS T1 JOIN Project_outcomes AS T2 ON T1.project_id = T2.project_id WHERE T2.outcome_code = 'Paper' INTERSECT SELECT T1.project_details FROM Projects AS T1 JOIN Project_outcomes AS T2 ON T1.project_id = T2.project_id WHERE T2.outcome_code = 'Patent''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
4,327
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question From what date and to what date do the staff work on a project that has the most staff and has staff in a leader role?
[query_database(**{'query': 'SELECT date_from , date_to FROM Project_Staff WHERE project_id IN( SELECT project_id FROM Project_Staff GROUP BY project_id ORDER BY count(*) DESC LIMIT 1 ) UNION SELECT date_from , date_to FROM Project_Staff WHERE role_code = 'leader''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question What is the type and id of the organization that has the most research staff?
[query_database(**{'query': 'SELECT T1.organisation_type , T1.organisation_id FROM Organisations AS T1 JOIN Research_Staff AS T2 ON T1.organisation_id = T2.employer_organisation_id GROUP BY T1.organisation_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 `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question What are the send dates for all documents that have a grant amount of more than 5000 and are involved in research?
[query_database(**{'query': 'SELECT T1.sent_date FROM documents AS T1 JOIN Grants AS T2 ON T1.grant_id = T2.grant_id JOIN Organisations AS T3 ON T2.organisation_id = T3.organisation_id JOIN organisation_Types AS T4 ON T3.organisation_type = T4.organisation_type WHERE T2.grant_amount > 5000 AND T4.organisation_type_description = 'Research''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
4,339
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question What are the details for all projects that did not hire any staff in a research role?
[query_database(**{'query': 'SELECT project_details FROM Projects WHERE project_id NOT IN ( SELECT project_id FROM Project_Staff WHERE role_code = 'researcher' )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question When did researchers start and stop working?
[query_database(**{'query': 'SELECT date_from , date_to FROM Project_Staff WHERE role_code = 'researcher''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question What is the total amount of grant money given to each organization and what is its id?
[query_database(**{'query': 'SELECT sum(grant_amount) , organisation_id FROM Grants GROUP BY organisation_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 `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
4,351
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question For each project id, how many staff does it have? List them in increasing order.
[query_database(**{'query': 'SELECT T1.project_id , count(*) FROM Project_Staff AS T1 JOIN Projects AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_id ORDER BY count(*) 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 `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
4,355
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question When did the first staff member start working?
[query_database(**{'query': 'SELECT date_from FROM Project_Staff ORDER BY date_from ASC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question What are the details of the project with no outcomes?
[query_database(**{'query': 'SELECT project_details FROM Projects WHERE project_id NOT IN ( SELECT project_id FROM Project_outcomes )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
4,363
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question For each staff id, what is the description of the role that is involved with the most number of projects?
[query_database(**{'query': 'SELECT T1.role_description , T2.staff_id FROM Staff_Roles AS T1 JOIN Project_Staff AS T2 ON T1.role_code = T2.role_code JOIN Project_outcomes AS T3 ON T2.project_id = T3.project_id GROUP BY T2.staff_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 `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
4,367
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question For grants that have descriptions of Regular and Initial Applications, what are their start dates?
[query_database(**{'query': 'SELECT T1.grant_start_date FROM Grants AS T1 JOIN Documents AS T2 ON T1.grant_id = T2.grant_id JOIN Document_Types AS T3 ON T2.document_type_code = T3.document_type_code WHERE T3.document_description = 'Regular' INTERSECT SELECT T1.grant_start_date FROM Grants AS T1 JOIN Documents AS T2 ON T1.grant_id = T2.grant_id JOIN Document_Types AS T3 ON T2.document_type_code = T3.document_type_code WHERE T3.document_description = 'Initial Application''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question What is the type description of the organization whose detail is listed as 'quo'?
[query_database(**{'query': 'SELECT T1.organisation_type_description FROM organisation_Types AS T1 JOIN Organisations AS T2 ON T1.organisation_type = T2.organisation_type WHERE T2.organisation_details = 'quo''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question What details are there on the research staff? List the result in ascending alphabetical order.
[query_database(**{'query': 'SELECT staff_details FROM Research_Staff ORDER BY staff_details 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 `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question For each project id, how many tasks are there?
[query_database(**{'query': 'SELECT count(*) , T1.project_details FROM Projects AS T1 JOIN Tasks AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_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 `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */ ### Question List the description of the outcomes for all projects.
[query_database(**{'query': 'SELECT T1.outcome_description FROM Research_outcomes AS T1 JOIN Project_outcomes AS T2 ON T1.outcome_code = T2.outcome_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 `Document_Types` ( `document_type_code` VARCHAR(10) PRIMARY KEY, `document_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM document_types LIMIT 1; document_type_code ||document_description APP || Initial Application */ CREATE TABLE `Documents` ( `document_id` INTEGER PRIMARY KEY, `document_type_code` VARCHAR(10), `grant_id` INTEGER NOT NULL, `sent_date` DATETIME NOT NULL, `response_received_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`document_type_code` ) REFERENCES `Document_Types`(`document_type_code` ), FOREIGN KEY (`grant_id` ) REFERENCES `Grants`(`grant_id` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_type_code ||grant_id || sent_date ||response_received_date ||other_details 1 || APP || 5 ||1986-11-30 07:56:35 || 1977-12-01 02:18:53 || */ CREATE TABLE `Grants` ( `grant_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `grant_amount` DECIMAL(19,4) NOT NULL DEFAULT 0, `grant_start_date` DATETIME NOT NULL, `grant_end_date` DATETIME NOT NULL, `other_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM grants LIMIT 1; grant_id ||organisation_id ||grant_amount || grant_start_date || grant_end_date ||other_details 1 || 10 || 4094.542 ||2016-11-20 00:18:51 ||2004-10-24 09:09:39 || et */ CREATE TABLE `Organisation_Types` ( `organisation_type` VARCHAR(10) PRIMARY KEY, `organisation_type_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM organisation_types LIMIT 1; organisation_type ||organisation_type_description RES || Research */ CREATE TABLE `Organisations` ( `organisation_id` INTEGER PRIMARY KEY, `organisation_type` VARCHAR(10) NOT NULL, `organisation_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_type` ) REFERENCES `Organisation_Types`(`organisation_type` ) ) /* 1 example row: SELECT * FROM organisations LIMIT 1; organisation_id ||organisation_type ||organisation_details 1 || RES || et */ CREATE TABLE `Project_Outcomes` ( `project_id` INTEGER NOT NULL, `outcome_code` VARCHAR(10) NOT NULL, `outcome_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`outcome_code` ) REFERENCES `Research_Outcomes`(`outcome_code` ) ) /* 1 example row: SELECT * FROM project_outcomes LIMIT 1; project_id ||outcome_code ||outcome_details 4 || Paper || None */ CREATE TABLE `Project_Staff` ( `staff_id` DOUBLE PRIMARY KEY, `project_id` INTEGER NOT NULL, `role_code` VARCHAR(10) NOT NULL, `date_from` DATETIME, `date_to` DATETIME, `other_details` VARCHAR(255), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ),FOREIGN KEY (`role_code` ) REFERENCES `Staff_Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM project_staff LIMIT 1; staff_id ||project_id ||role_code || date_from || date_to ||other_details 0.0 || 2 || leader ||1981-10-04 22:44:50 ||1985-05-30 22:26:30 || None */ CREATE TABLE `Projects` ( `project_id` INTEGER PRIMARY KEY, `organisation_id` INTEGER NOT NULL, `project_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM projects LIMIT 1; project_id ||organisation_id ||project_details 1 || 15 || porro */ CREATE TABLE `Research_Outcomes` ( `outcome_code` VARCHAR(10) PRIMARY KEY, `outcome_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM research_outcomes LIMIT 1; outcome_code || outcome_description Paper ||Published Research Paper */ CREATE TABLE `Research_Staff` ( `staff_id` INTEGER PRIMARY KEY, `employer_organisation_id` INTEGER NOT NULL, `staff_details` VARCHAR(255) NOT NULL, FOREIGN KEY (`employer_organisation_id` ) REFERENCES `Organisations`(`organisation_id` ) ) /* 1 example row: SELECT * FROM research_staff LIMIT 1; staff_id ||employer_organisation_id ||staff_details 1 || 1 || quo */ CREATE TABLE `Staff_Roles` ( `role_code` VARCHAR(10) PRIMARY KEY, `role_description` VARCHAR(255) NOT NULL ) /* 1 example row: SELECT * FROM staff_roles LIMIT 1; role_code ||role_description leader || Project Leader */ CREATE TABLE `Tasks` ( `task_id` INTEGER PRIMARY KEY, `project_id` INTEGER NOT NULL, `task_details` VARCHAR(255) NOT NULL, `eg Agree Objectives` VARCHAR(1), FOREIGN KEY (`project_id` ) REFERENCES `Projects`(`project_id` ) ) /* 1 example row: SELECT * FROM tasks LIMIT 1; task_id ||project_id ||task_details ||eg Agree Objectives 1 || 1 || a || None */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question How many females are in the network?
[query_database(**{'query': 'SELECT count(*) FROM Person WHERE gender = 'female''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,404
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question How many different cities are they from?
[query_database(**{'query': 'SELECT count(DISTINCT city) FROM Person'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,407
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question How many different jobs are listed?
[query_database(**{'query': 'SELECT count(DISTINCT job) FROM Person'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,409
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What is the name of the person who is the oldest?
[query_database(**{'query': 'SELECT name FROM Person WHERE age = (SELECT max(age) FROM person)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,411
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What is the name of the oldest student?
[query_database(**{'query': 'SELECT name FROM Person WHERE job = 'student' AND age = (SELECT max(age) FROM person WHERE job = '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 Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,413
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What is the name of the youngest male?
[query_database(**{'query': 'SELECT name FROM Person WHERE gender = 'male' AND age = (SELECT min(age) FROM person WHERE gender = 'male' )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,415
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What is the age of the doctor named Zach?
[query_database(**{'query': 'SELECT age FROM Person WHERE job = 'doctor' AND name = 'Zach''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,417
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What is the name of the person whose age is below 30?
[query_database(**{'query': 'SELECT name FROM Person WHERE age < 30'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,419
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question HOw many engineers are older than 30?
[query_database(**{'query': 'SELECT count(*) FROM Person WHERE age > 30 AND job = 'engineer''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,421
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question How old is each gender, on average?
[query_database(**{'query': 'SELECT avg(age) , gender FROM Person GROUP BY gender'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,424
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What is average age of male for different job title?
[query_database(**{'query': 'SELECT avg(age) , job FROM Person WHERE gender = 'male' GROUP BY job'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,426
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What is minimum age for different job title?
[query_database(**{'query': 'SELECT min(age) , job FROM Person GROUP BY job'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,429
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question How many people are under 40 for each gender?
[query_database(**{'query': 'SELECT count(*) , gender FROM Person WHERE age < 40 GROUP BY gender'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,432
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question Find the number of people whose age is greater than all engineers.
[query_database(**{'query': 'SELECT count(*) FROM Person WHERE age > (SELECT max(age) FROM person WHERE job = 'engineer')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,437
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What are the names of everybody sorted by age in descending order?
[query_database(**{'query': 'SELECT name FROM Person ORDER BY age DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,440
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question Find the name and age of the person who is a friend of both Dan and Alice.
[query_database(**{'query': 'SELECT T1.name , T1.age FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend = 'Dan' INTERSECT SELECT T1.name , T1.age FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend = 'Alice''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,443
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What are the different names and ages of every friend of either Dan or alice?
[query_database(**{'query': 'SELECT DISTINCT T1.name , T1.age FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend = 'Dan' OR T2.friend = 'Alice''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,446
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question Find the name of the person who has friends with age above 40 but not under age 30?
[query_database(**{'query': 'SELECT T1.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend IN (SELECT name FROM Person WHERE age > 40) EXCEPT SELECT T1.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend IN (SELECT name FROM Person WHERE age < 30)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,449
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What are the names of the people who have no friends who are students?
[query_database(**{'query': 'SELECT name FROM person EXCEPT SELECT T2.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T1.job = '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 Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,452
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question Who are the friends of Bob?
[query_database(**{'query': 'SELECT T2.friend FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T1.name = 'Bob''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,455
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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 Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What are the names of all of Bob's friends?
[query_database(**{'query': 'SELECT T1.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend = 'Bob''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,458
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question Find the female friends of Alice.
[query_database(**{'query': 'SELECT T2.friend FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T2.name = 'Alice' AND T1.gender = 'female''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,461
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question Who are the friends of Alice that are doctors?
[query_database(**{'query': 'SELECT T2.friend FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T2.name = 'Alice' AND T1.gender = 'male' AND T1.job = 'doctor''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,464
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question Who has friends that are younger than the average age?
[query_database(**{'query': 'SELECT DISTINCT T2.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T1.age < (SELECT avg(age) FROM person)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,468
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question Who is the friend of Zach with longest year relationship?
[query_database(**{'query': 'SELECT friend FROM PersonFriend WHERE name = 'Zach' AND YEAR = (SELECT max(YEAR) FROM PersonFriend WHERE name = 'Zach')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,472
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question Find the name of persons who are friends with Alice for the shortest years.
[query_database(**{'query': 'SELECT name FROM PersonFriend WHERE friend = 'Alice' AND YEAR = (SELECT min(YEAR) FROM PersonFriend WHERE friend = 'Alice')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,476
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question Who is the person that has no friend?
[query_database(**{'query': 'SELECT name FROM person EXCEPT SELECT name FROM PersonFriend'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,479
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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 Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What is the name of the person who has the oldest average age for their friends, and what is that average age?
[query_database(**{'query': 'SELECT T2.name , avg(T1.age) FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend GROUP BY T2.name ORDER BY avg(T1.age) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,483
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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 Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What are the names of all of Alice's friends of friends?
[query_database(**{'query': 'SELECT DISTINCT T4.name FROM PersonFriend AS T1 JOIN Person AS T2 ON T1.name = T2.name JOIN PersonFriend AS T3 ON T1.friend = T3.name JOIN PersonFriend AS T4 ON T3.friend = T4.name WHERE T2.name = 'Alice' AND T4.name != 'Alice''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,487
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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 "college" ( "College_ID" int, "Name" text, "Leader_Name" text, "College_Location" text, PRIMARY KEY ("College_ID") ) /* 1 example row: SELECT * FROM college LIMIT 1; College_ID || Name || Leader_Name ||College_Location 1 ||Saskatchewan School ||Ousame Tounkara || Ottawa */ CREATE TABLE "member" ( "Member_ID" int, "Name" text, "Country" text, "College_ID" int, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("College_ID") REFERENCES `college`("College_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Name || Country ||College_ID 1 ||Jack Nicklaus ||United States || 1 */ CREATE TABLE "round" ( "Round_ID" int, "Member_ID" int, "Decoration_Theme" text, "Rank_in_Round" int, PRIMARY KEY ("Member_ID","Round_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID") ) /* 1 example row: SELECT * FROM round LIMIT 1; Round_ID ||Member_ID ||Decoration_Theme ||Rank_in_Round 1 || 1 ||Walk on the Moon || 1 */ ### Question Show the names of members whose country is "United States" or "Canada".
[query_database(**{'query': 'SELECT Name FROM member WHERE Country = "United States" OR Country = "Canada"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "college" ( "College_ID" int, "Name" text, "Leader_Name" text, "College_Location" text, PRIMARY KEY ("College_ID") ) /* 1 example row: SELECT * FROM college LIMIT 1; College_ID || Name || Leader_Name ||College_Location 1 ||Saskatchewan School ||Ousame Tounkara || Ottawa */ CREATE TABLE "member" ( "Member_ID" int, "Name" text, "Country" text, "College_ID" int, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("College_ID") REFERENCES `college`("College_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Name || Country ||College_ID 1 ||Jack Nicklaus ||United States || 1 */ CREATE TABLE "round" ( "Round_ID" int, "Member_ID" int, "Decoration_Theme" text, "Rank_in_Round" int, PRIMARY KEY ("Member_ID","Round_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID") ) /* 1 example row: SELECT * FROM round LIMIT 1; Round_ID ||Member_ID ||Decoration_Theme ||Rank_in_Round 1 || 1 ||Walk on the Moon || 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 "college" ( "College_ID" int, "Name" text, "Leader_Name" text, "College_Location" text, PRIMARY KEY ("College_ID") ) /* 1 example row: SELECT * FROM college LIMIT 1; College_ID || Name || Leader_Name ||College_Location 1 ||Saskatchewan School ||Ousame Tounkara || Ottawa */ CREATE TABLE "member" ( "Member_ID" int, "Name" text, "Country" text, "College_ID" int, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("College_ID") REFERENCES `college`("College_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Name || Country ||College_ID 1 ||Jack Nicklaus ||United States || 1 */ CREATE TABLE "round" ( "Round_ID" int, "Member_ID" int, "Decoration_Theme" text, "Rank_in_Round" int, PRIMARY KEY ("Member_ID","Round_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID") ) /* 1 example row: SELECT * FROM round LIMIT 1; Round_ID ||Member_ID ||Decoration_Theme ||Rank_in_Round 1 || 1 ||Walk on the Moon || 1 */ ### Question Show the leader names and locations of colleges.
[query_database(**{'query': 'SELECT Leader_Name , College_Location FROM college'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "college" ( "College_ID" int, "Name" text, "Leader_Name" text, "College_Location" text, PRIMARY KEY ("College_ID") ) /* 1 example row: SELECT * FROM college LIMIT 1; College_ID || Name || Leader_Name ||College_Location 1 ||Saskatchewan School ||Ousame Tounkara || Ottawa */ CREATE TABLE "member" ( "Member_ID" int, "Name" text, "Country" text, "College_ID" int, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("College_ID") REFERENCES `college`("College_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Name || Country ||College_ID 1 ||Jack Nicklaus ||United States || 1 */ CREATE TABLE "round" ( "Round_ID" int, "Member_ID" int, "Decoration_Theme" text, "Rank_in_Round" int, PRIMARY KEY ("Member_ID","Round_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID") ) /* 1 example row: SELECT * FROM round LIMIT 1; Round_ID ||Member_ID ||Decoration_Theme ||Rank_in_Round 1 || 1 ||Walk on the Moon || 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 "college" ( "College_ID" int, "Name" text, "Leader_Name" text, "College_Location" text, PRIMARY KEY ("College_ID") ) /* 1 example row: SELECT * FROM college LIMIT 1; College_ID || Name || Leader_Name ||College_Location 1 ||Saskatchewan School ||Ousame Tounkara || Ottawa */ CREATE TABLE "member" ( "Member_ID" int, "Name" text, "Country" text, "College_ID" int, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("College_ID") REFERENCES `college`("College_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Name || Country ||College_ID 1 ||Jack Nicklaus ||United States || 1 */ CREATE TABLE "round" ( "Round_ID" int, "Member_ID" int, "Decoration_Theme" text, "Rank_in_Round" int, PRIMARY KEY ("Member_ID","Round_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID") ) /* 1 example row: SELECT * FROM round LIMIT 1; Round_ID ||Member_ID ||Decoration_Theme ||Rank_in_Round 1 || 1 ||Walk on the Moon || 1 */ ### Question Show the names of members and the decoration themes they have.
[query_database(**{'query': 'SELECT T1.Name , T2.Decoration_Theme FROM member AS T1 JOIN round AS T2 ON T1.Member_ID = T2.Member_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 "college" ( "College_ID" int, "Name" text, "Leader_Name" text, "College_Location" text, PRIMARY KEY ("College_ID") ) /* 1 example row: SELECT * FROM college LIMIT 1; College_ID || Name || Leader_Name ||College_Location 1 ||Saskatchewan School ||Ousame Tounkara || Ottawa */ CREATE TABLE "member" ( "Member_ID" int, "Name" text, "Country" text, "College_ID" int, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("College_ID") REFERENCES `college`("College_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Name || Country ||College_ID 1 ||Jack Nicklaus ||United States || 1 */ CREATE TABLE "round" ( "Round_ID" int, "Member_ID" int, "Decoration_Theme" text, "Rank_in_Round" int, PRIMARY KEY ("Member_ID","Round_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID") ) /* 1 example row: SELECT * FROM round LIMIT 1; Round_ID ||Member_ID ||Decoration_Theme ||Rank_in_Round 1 || 1 ||Walk on the Moon || 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 `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question Find the name and access counts of all documents, in alphabetic order of the document name.
[query_database(**{'query': 'SELECT document_name , access_count FROM documents ORDER BY document_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 `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question What are the codes of types of documents of which there are for or more?
[query_database(**{'query': 'SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 4'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question Find the average access count across all documents?
[query_database(**{'query': 'SELECT avg(access_count) FROM documents'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question What is the type of the document named "David CV"?
[query_database(**{'query': 'SELECT document_type_code FROM documents WHERE document_name = "David CV"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question What are the names of documents that have both one of the three most common types and one of three most common structures?
[query_database(**{'query': 'SELECT document_name FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 3 INTERSECT SELECT document_name FROM documents GROUP BY document_structure_code ORDER BY count(*) DESC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question Find all the name of documents without any sections.
[query_database(**{'query': 'SELECT document_name FROM documents WHERE document_code NOT IN (SELECT document_code FROM document_sections)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question What are the average access counts of documents that have the functional area description "Acknowledgement"?
[query_database(**{'query': 'SELECT avg(t1.access_count) FROM documents AS t1 JOIN document_functional_areas AS t2 ON t1.document_code = t2.document_code JOIN functional_areas AS t3 ON t2.functional_area_code = t3.functional_area_code WHERE t3.functional_area_description = "Acknowledgement"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question Return the name of the document that has the most sections.
[query_database(**{'query': 'SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code GROUP BY t1.document_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 `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
4,532
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question Count the number of users that are logged in.
[query_database(**{'query': 'SELECT count(*) FROM users WHERE user_login = 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 `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question What is the average access count of documents that have the least common structure?
[query_database(**{'query': 'SELECT avg(access_count) FROM documents GROUP BY document_structure_code ORDER BY count(*) ASC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
4,540
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question What are the different role codes for users, and how many users have each?
[query_database(**{'query': 'SELECT count(*) , role_code FROM users GROUP BY role_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 `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question Count the number of companies.
[query_database(**{'query': 'SELECT count(*) FROM Companies'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question What are the names of companies whose headquarters are not "USA"?
[query_database(**{'query': 'SELECT name FROM Companies WHERE Headquarters != 'USA''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question What are the average profits of companies?
[query_database(**{'query': 'SELECT avg(Profits_billion) FROM Companies'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question How many different industries are the companies in?
[query_database(**{'query': 'SELECT count(DISTINCT Industry) FROM Companies'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question Find the stories of the building with the largest height.
[query_database(**{'query': 'SELECT Stories FROM buildings ORDER BY Height 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 "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question Show the names of the buildings that have more than one company offices.
[query_database(**{'query': 'SELECT T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id 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 "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question Please show the names of the buildings whose status is "on-hold", in ascending order of stories.
[query_database(**{'query': 'SELECT name FROM buildings WHERE Status = "on-hold" ORDER BY Stories 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 "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
4,571
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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 "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question Please show the industries of companies in descending order of the number of companies.
[query_database(**{'query': 'SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question List the names of buildings that have no company office.
[query_database(**{'query': 'SELECT name FROM buildings WHERE id NOT IN (SELECT building_id FROM Office_locations)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question Find the number of companies whose industry is "Banking" or "Conglomerate",
[query_database(**{'query': 'SELECT count(*) FROM Companies WHERE Industry = "Banking" OR Industry = "Conglomerate"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question Which headquarter locations are used by more than 2 companies?
[query_database(**{'query': 'SELECT Headquarters FROM Companies GROUP BY Headquarters 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 "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 NOT NULL , address_details VARCHAR(255), PRIMARY KEY (Address_ID), UNIQUE (Address_ID) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; Address_ID || address_details 1 ||465 Emely Bypass West Mafalda, CO 23309 */ CREATE TABLE Locations ( Location_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Location_ID) ) /* 1 example row: SELECT * FROM locations LIMIT 1; Location_ID ||Other_Details 1 || Rowe PLC */ CREATE TABLE Products ( Product_ID INTEGER NOT NULL, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), PRIMARY KEY (Product_ID), UNIQUE (Product_ID) ) /* 1 example row: SELECT * FROM products LIMIT 1; Product_ID ||Product_Type_Code || Product_Name ||Product_Price 1 || Books ||Business Policy || 1336.26 */ CREATE TABLE Parties ( Party_ID INTEGER NOT NULL, Party_Details VARCHAR(255), PRIMARY KEY (Party_ID) ) /* 1 example row: SELECT * FROM parties LIMIT 1; Party_ID || Party_Details 3 ||European People's Party */ CREATE TABLE Assets ( Asset_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Asset_ID) ) /* 1 example row: SELECT * FROM assets LIMIT 1; Asset_ID || Other_Details 1 ||Transportation Cars */ CREATE TABLE Channels ( Channel_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Channel_ID) ) /* 1 example row: SELECT * FROM channels LIMIT 1; Channel_ID ||Other_Details 1 || 145 */ CREATE TABLE Finances ( Finance_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Finance_ID) ) /* 1 example row: SELECT * FROM finances LIMIT 1; Finance_ID ||Other_Details 1 || Mutual */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL , Address_ID INTEGER, Channel_ID INTEGER NOT NULL, Event_Type_Code CHAR(15), Finance_ID INTEGER NOT NULL, Location_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID), UNIQUE (Event_ID), FOREIGN KEY (Location_ID) REFERENCES Locations (Location_ID), FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID), FOREIGN KEY (Finance_ID) REFERENCES Finances (Finance_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Address_ID ||Channel_ID ||Event_Type_Code ||Finance_ID ||Location_ID 1 || 3 || 12 || Trade Show || 2 || 13 */ CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Product_ID INTEGER NOT NULL, PRIMARY KEY (Product_in_Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID) ) /* 1 example row: SELECT * FROM products_in_events LIMIT 1; Product_in_Event_ID ||Event_ID ||Product_ID 13 || 4 || 29 */ CREATE TABLE Parties_in_Events ( Party_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Role_Code CHAR(15), PRIMARY KEY (Party_ID, Event_ID), FOREIGN KEY (Party_ID) REFERENCES Parties (Party_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM parties_in_events LIMIT 1; Party_ID ||Event_ID ||Role_Code 3 || 7 ||Organizer */ CREATE TABLE Agreements ( Document_ID INTEGER NOT NULL , Event_ID INTEGER NOT NULL, PRIMARY KEY (Document_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM agreements LIMIT 1; Document_ID ||Event_ID 1 || 13 */ CREATE TABLE Assets_in_Events ( Asset_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, PRIMARY KEY (Asset_ID, Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM assets_in_events LIMIT 1; Asset_ID ||Event_ID 1 || 4 */ ### Question Show the prices of the products named "Dining" or "Trading Policy".
[query_database(**{'query': 'SELECT Product_Price FROM Products WHERE Product_Name = "Dining" OR Product_Name = "Trading Policy"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 NOT NULL , address_details VARCHAR(255), PRIMARY KEY (Address_ID), UNIQUE (Address_ID) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; Address_ID || address_details 1 ||465 Emely Bypass West Mafalda, CO 23309 */ CREATE TABLE Locations ( Location_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Location_ID) ) /* 1 example row: SELECT * FROM locations LIMIT 1; Location_ID ||Other_Details 1 || Rowe PLC */ CREATE TABLE Products ( Product_ID INTEGER NOT NULL, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), PRIMARY KEY (Product_ID), UNIQUE (Product_ID) ) /* 1 example row: SELECT * FROM products LIMIT 1; Product_ID ||Product_Type_Code || Product_Name ||Product_Price 1 || Books ||Business Policy || 1336.26 */ CREATE TABLE Parties ( Party_ID INTEGER NOT NULL, Party_Details VARCHAR(255), PRIMARY KEY (Party_ID) ) /* 1 example row: SELECT * FROM parties LIMIT 1; Party_ID || Party_Details 3 ||European People's Party */ CREATE TABLE Assets ( Asset_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Asset_ID) ) /* 1 example row: SELECT * FROM assets LIMIT 1; Asset_ID || Other_Details 1 ||Transportation Cars */ CREATE TABLE Channels ( Channel_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Channel_ID) ) /* 1 example row: SELECT * FROM channels LIMIT 1; Channel_ID ||Other_Details 1 || 145 */ CREATE TABLE Finances ( Finance_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Finance_ID) ) /* 1 example row: SELECT * FROM finances LIMIT 1; Finance_ID ||Other_Details 1 || Mutual */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL , Address_ID INTEGER, Channel_ID INTEGER NOT NULL, Event_Type_Code CHAR(15), Finance_ID INTEGER NOT NULL, Location_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID), UNIQUE (Event_ID), FOREIGN KEY (Location_ID) REFERENCES Locations (Location_ID), FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID), FOREIGN KEY (Finance_ID) REFERENCES Finances (Finance_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Address_ID ||Channel_ID ||Event_Type_Code ||Finance_ID ||Location_ID 1 || 3 || 12 || Trade Show || 2 || 13 */ CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Product_ID INTEGER NOT NULL, PRIMARY KEY (Product_in_Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID) ) /* 1 example row: SELECT * FROM products_in_events LIMIT 1; Product_in_Event_ID ||Event_ID ||Product_ID 13 || 4 || 29 */ CREATE TABLE Parties_in_Events ( Party_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Role_Code CHAR(15), PRIMARY KEY (Party_ID, Event_ID), FOREIGN KEY (Party_ID) REFERENCES Parties (Party_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM parties_in_events LIMIT 1; Party_ID ||Event_ID ||Role_Code 3 || 7 ||Organizer */ CREATE TABLE Agreements ( Document_ID INTEGER NOT NULL , Event_ID INTEGER NOT NULL, PRIMARY KEY (Document_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM agreements LIMIT 1; Document_ID ||Event_ID 1 || 13 */ CREATE TABLE Assets_in_Events ( Asset_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, PRIMARY KEY (Asset_ID, Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM assets_in_events LIMIT 1; Asset_ID ||Event_ID 1 || 4 */
4,590
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 NOT NULL , address_details VARCHAR(255), PRIMARY KEY (Address_ID), UNIQUE (Address_ID) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; Address_ID || address_details 1 ||465 Emely Bypass West Mafalda, CO 23309 */ CREATE TABLE Locations ( Location_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Location_ID) ) /* 1 example row: SELECT * FROM locations LIMIT 1; Location_ID ||Other_Details 1 || Rowe PLC */ CREATE TABLE Products ( Product_ID INTEGER NOT NULL, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), PRIMARY KEY (Product_ID), UNIQUE (Product_ID) ) /* 1 example row: SELECT * FROM products LIMIT 1; Product_ID ||Product_Type_Code || Product_Name ||Product_Price 1 || Books ||Business Policy || 1336.26 */ CREATE TABLE Parties ( Party_ID INTEGER NOT NULL, Party_Details VARCHAR(255), PRIMARY KEY (Party_ID) ) /* 1 example row: SELECT * FROM parties LIMIT 1; Party_ID || Party_Details 3 ||European People's Party */ CREATE TABLE Assets ( Asset_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Asset_ID) ) /* 1 example row: SELECT * FROM assets LIMIT 1; Asset_ID || Other_Details 1 ||Transportation Cars */ CREATE TABLE Channels ( Channel_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Channel_ID) ) /* 1 example row: SELECT * FROM channels LIMIT 1; Channel_ID ||Other_Details 1 || 145 */ CREATE TABLE Finances ( Finance_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Finance_ID) ) /* 1 example row: SELECT * FROM finances LIMIT 1; Finance_ID ||Other_Details 1 || Mutual */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL , Address_ID INTEGER, Channel_ID INTEGER NOT NULL, Event_Type_Code CHAR(15), Finance_ID INTEGER NOT NULL, Location_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID), UNIQUE (Event_ID), FOREIGN KEY (Location_ID) REFERENCES Locations (Location_ID), FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID), FOREIGN KEY (Finance_ID) REFERENCES Finances (Finance_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Address_ID ||Channel_ID ||Event_Type_Code ||Finance_ID ||Location_ID 1 || 3 || 12 || Trade Show || 2 || 13 */ CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Product_ID INTEGER NOT NULL, PRIMARY KEY (Product_in_Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID) ) /* 1 example row: SELECT * FROM products_in_events LIMIT 1; Product_in_Event_ID ||Event_ID ||Product_ID 13 || 4 || 29 */ CREATE TABLE Parties_in_Events ( Party_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Role_Code CHAR(15), PRIMARY KEY (Party_ID, Event_ID), FOREIGN KEY (Party_ID) REFERENCES Parties (Party_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM parties_in_events LIMIT 1; Party_ID ||Event_ID ||Role_Code 3 || 7 ||Organizer */ CREATE TABLE Agreements ( Document_ID INTEGER NOT NULL , Event_ID INTEGER NOT NULL, PRIMARY KEY (Document_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM agreements LIMIT 1; Document_ID ||Event_ID 1 || 13 */ CREATE TABLE Assets_in_Events ( Asset_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, PRIMARY KEY (Asset_ID, Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM assets_in_events LIMIT 1; Asset_ID ||Event_ID 1 || 4 */ ### Question Show the most common type code across products.
[query_database(**{'query': 'SELECT Product_Type_Code FROM Products GROUP BY Product_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 Addresses ( Address_ID INTEGER NOT NULL , address_details VARCHAR(255), PRIMARY KEY (Address_ID), UNIQUE (Address_ID) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; Address_ID || address_details 1 ||465 Emely Bypass West Mafalda, CO 23309 */ CREATE TABLE Locations ( Location_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Location_ID) ) /* 1 example row: SELECT * FROM locations LIMIT 1; Location_ID ||Other_Details 1 || Rowe PLC */ CREATE TABLE Products ( Product_ID INTEGER NOT NULL, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), PRIMARY KEY (Product_ID), UNIQUE (Product_ID) ) /* 1 example row: SELECT * FROM products LIMIT 1; Product_ID ||Product_Type_Code || Product_Name ||Product_Price 1 || Books ||Business Policy || 1336.26 */ CREATE TABLE Parties ( Party_ID INTEGER NOT NULL, Party_Details VARCHAR(255), PRIMARY KEY (Party_ID) ) /* 1 example row: SELECT * FROM parties LIMIT 1; Party_ID || Party_Details 3 ||European People's Party */ CREATE TABLE Assets ( Asset_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Asset_ID) ) /* 1 example row: SELECT * FROM assets LIMIT 1; Asset_ID || Other_Details 1 ||Transportation Cars */ CREATE TABLE Channels ( Channel_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Channel_ID) ) /* 1 example row: SELECT * FROM channels LIMIT 1; Channel_ID ||Other_Details 1 || 145 */ CREATE TABLE Finances ( Finance_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Finance_ID) ) /* 1 example row: SELECT * FROM finances LIMIT 1; Finance_ID ||Other_Details 1 || Mutual */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL , Address_ID INTEGER, Channel_ID INTEGER NOT NULL, Event_Type_Code CHAR(15), Finance_ID INTEGER NOT NULL, Location_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID), UNIQUE (Event_ID), FOREIGN KEY (Location_ID) REFERENCES Locations (Location_ID), FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID), FOREIGN KEY (Finance_ID) REFERENCES Finances (Finance_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Address_ID ||Channel_ID ||Event_Type_Code ||Finance_ID ||Location_ID 1 || 3 || 12 || Trade Show || 2 || 13 */ CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Product_ID INTEGER NOT NULL, PRIMARY KEY (Product_in_Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID) ) /* 1 example row: SELECT * FROM products_in_events LIMIT 1; Product_in_Event_ID ||Event_ID ||Product_ID 13 || 4 || 29 */ CREATE TABLE Parties_in_Events ( Party_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Role_Code CHAR(15), PRIMARY KEY (Party_ID, Event_ID), FOREIGN KEY (Party_ID) REFERENCES Parties (Party_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM parties_in_events LIMIT 1; Party_ID ||Event_ID ||Role_Code 3 || 7 ||Organizer */ CREATE TABLE Agreements ( Document_ID INTEGER NOT NULL , Event_ID INTEGER NOT NULL, PRIMARY KEY (Document_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM agreements LIMIT 1; Document_ID ||Event_ID 1 || 13 */ CREATE TABLE Assets_in_Events ( Asset_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, PRIMARY KEY (Asset_ID, Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM assets_in_events LIMIT 1; Asset_ID ||Event_ID 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 NOT NULL , address_details VARCHAR(255), PRIMARY KEY (Address_ID), UNIQUE (Address_ID) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; Address_ID || address_details 1 ||465 Emely Bypass West Mafalda, CO 23309 */ CREATE TABLE Locations ( Location_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Location_ID) ) /* 1 example row: SELECT * FROM locations LIMIT 1; Location_ID ||Other_Details 1 || Rowe PLC */ CREATE TABLE Products ( Product_ID INTEGER NOT NULL, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), PRIMARY KEY (Product_ID), UNIQUE (Product_ID) ) /* 1 example row: SELECT * FROM products LIMIT 1; Product_ID ||Product_Type_Code || Product_Name ||Product_Price 1 || Books ||Business Policy || 1336.26 */ CREATE TABLE Parties ( Party_ID INTEGER NOT NULL, Party_Details VARCHAR(255), PRIMARY KEY (Party_ID) ) /* 1 example row: SELECT * FROM parties LIMIT 1; Party_ID || Party_Details 3 ||European People's Party */ CREATE TABLE Assets ( Asset_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Asset_ID) ) /* 1 example row: SELECT * FROM assets LIMIT 1; Asset_ID || Other_Details 1 ||Transportation Cars */ CREATE TABLE Channels ( Channel_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Channel_ID) ) /* 1 example row: SELECT * FROM channels LIMIT 1; Channel_ID ||Other_Details 1 || 145 */ CREATE TABLE Finances ( Finance_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Finance_ID) ) /* 1 example row: SELECT * FROM finances LIMIT 1; Finance_ID ||Other_Details 1 || Mutual */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL , Address_ID INTEGER, Channel_ID INTEGER NOT NULL, Event_Type_Code CHAR(15), Finance_ID INTEGER NOT NULL, Location_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID), UNIQUE (Event_ID), FOREIGN KEY (Location_ID) REFERENCES Locations (Location_ID), FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID), FOREIGN KEY (Finance_ID) REFERENCES Finances (Finance_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Address_ID ||Channel_ID ||Event_Type_Code ||Finance_ID ||Location_ID 1 || 3 || 12 || Trade Show || 2 || 13 */ CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Product_ID INTEGER NOT NULL, PRIMARY KEY (Product_in_Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID) ) /* 1 example row: SELECT * FROM products_in_events LIMIT 1; Product_in_Event_ID ||Event_ID ||Product_ID 13 || 4 || 29 */ CREATE TABLE Parties_in_Events ( Party_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Role_Code CHAR(15), PRIMARY KEY (Party_ID, Event_ID), FOREIGN KEY (Party_ID) REFERENCES Parties (Party_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM parties_in_events LIMIT 1; Party_ID ||Event_ID ||Role_Code 3 || 7 ||Organizer */ CREATE TABLE Agreements ( Document_ID INTEGER NOT NULL , Event_ID INTEGER NOT NULL, PRIMARY KEY (Document_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM agreements LIMIT 1; Document_ID ||Event_ID 1 || 13 */ CREATE TABLE Assets_in_Events ( Asset_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, PRIMARY KEY (Asset_ID, Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM assets_in_events LIMIT 1; Asset_ID ||Event_ID 1 || 4 */ ### Question Show the names of products and the number of events they are in, sorted by the number of events in descending order.
[query_database(**{'query': 'SELECT T1.Product_Name , COUNT(*) FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name ORDER BY COUNT(*) DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( Address_ID INTEGER NOT NULL , address_details VARCHAR(255), PRIMARY KEY (Address_ID), UNIQUE (Address_ID) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; Address_ID || address_details 1 ||465 Emely Bypass West Mafalda, CO 23309 */ CREATE TABLE Locations ( Location_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Location_ID) ) /* 1 example row: SELECT * FROM locations LIMIT 1; Location_ID ||Other_Details 1 || Rowe PLC */ CREATE TABLE Products ( Product_ID INTEGER NOT NULL, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), PRIMARY KEY (Product_ID), UNIQUE (Product_ID) ) /* 1 example row: SELECT * FROM products LIMIT 1; Product_ID ||Product_Type_Code || Product_Name ||Product_Price 1 || Books ||Business Policy || 1336.26 */ CREATE TABLE Parties ( Party_ID INTEGER NOT NULL, Party_Details VARCHAR(255), PRIMARY KEY (Party_ID) ) /* 1 example row: SELECT * FROM parties LIMIT 1; Party_ID || Party_Details 3 ||European People's Party */ CREATE TABLE Assets ( Asset_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Asset_ID) ) /* 1 example row: SELECT * FROM assets LIMIT 1; Asset_ID || Other_Details 1 ||Transportation Cars */ CREATE TABLE Channels ( Channel_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Channel_ID) ) /* 1 example row: SELECT * FROM channels LIMIT 1; Channel_ID ||Other_Details 1 || 145 */ CREATE TABLE Finances ( Finance_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Finance_ID) ) /* 1 example row: SELECT * FROM finances LIMIT 1; Finance_ID ||Other_Details 1 || Mutual */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL , Address_ID INTEGER, Channel_ID INTEGER NOT NULL, Event_Type_Code CHAR(15), Finance_ID INTEGER NOT NULL, Location_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID), UNIQUE (Event_ID), FOREIGN KEY (Location_ID) REFERENCES Locations (Location_ID), FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID), FOREIGN KEY (Finance_ID) REFERENCES Finances (Finance_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Address_ID ||Channel_ID ||Event_Type_Code ||Finance_ID ||Location_ID 1 || 3 || 12 || Trade Show || 2 || 13 */ CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Product_ID INTEGER NOT NULL, PRIMARY KEY (Product_in_Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID) ) /* 1 example row: SELECT * FROM products_in_events LIMIT 1; Product_in_Event_ID ||Event_ID ||Product_ID 13 || 4 || 29 */ CREATE TABLE Parties_in_Events ( Party_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Role_Code CHAR(15), PRIMARY KEY (Party_ID, Event_ID), FOREIGN KEY (Party_ID) REFERENCES Parties (Party_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM parties_in_events LIMIT 1; Party_ID ||Event_ID ||Role_Code 3 || 7 ||Organizer */ CREATE TABLE Agreements ( Document_ID INTEGER NOT NULL , Event_ID INTEGER NOT NULL, PRIMARY KEY (Document_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM agreements LIMIT 1; Document_ID ||Event_ID 1 || 13 */ CREATE TABLE Assets_in_Events ( Asset_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, PRIMARY KEY (Asset_ID, Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM assets_in_events LIMIT 1; Asset_ID ||Event_ID 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */ ### Question How many artworks are there?
[query_database(**{'query': 'SELECT count(*) FROM artwork'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */ ### Question What are the names and locations of festivals?
[query_database(**{'query': 'SELECT Festival_Name , LOCATION FROM festival_detail'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */ ### Question What is the average number of audience for festivals?
[query_database(**{'query': 'SELECT avg(Num_of_Audience) FROM festival_detail'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */ ### Question Show the names of artworks in ascending order of the year they are nominated in.
[query_database(**{'query': 'SELECT T2.Name FROM nomination AS T1 JOIN artwork AS T2 ON T1.Artwork_ID = T2.Artwork_ID JOIN festival_detail AS T3 ON T1.Festival_ID = T3.Festival_ID ORDER BY T3.Year'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */ ### Question Please show different types of artworks with the corresponding number of artworks of each type.
[query_database(**{'query': 'SELECT TYPE , COUNT(*) FROM artwork GROUP BY TYPE'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */ ### Question Show the number of audience in year 2008 or 2010.
[query_database(**{'query': 'SELECT Num_of_Audience FROM festival_detail WHERE YEAR = 2008 OR YEAR = 2010'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Premises` ( `premise_id` INTEGER PRIMARY KEY, `premises_type` VARCHAR(15) NOT NULL, `premise_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM premises LIMIT 1; premise_id ||premises_type || premise_details 1 || Warehouse ||036 Lueilwitz Harbor */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_category ||product_name 1 || Food || Coffee Bean */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(15) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `customer_address` VARCHAR(255), `customer_login` VARCHAR(80), `customer_password` VARCHAR(10) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email || customer_address ||customer_login ||customer_password 1 || Credit Card || Wendell ||(773)971-9411x759 ||[email protected] ||618 Webster Stream Apt. 161 || None || b4459ad261 */ CREATE TABLE `Mailshot_Campaigns` ( `mailshot_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15), `mailshot_name` VARCHAR(80), `mailshot_start_date` DATETIME, `mailshot_end_date` DATETIME ) /* 1 example row: SELECT * FROM mailshot_campaigns LIMIT 1; mailshot_id ||product_category ||mailshot_name ||mailshot_start_date || mailshot_end_date 1 || food || US ||2018-02-15 09:52:17 ||2018-03-08 14:40:20 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `premise_id` INTEGER NOT NULL, `date_address_from` DATETIME NOT NULL, `address_type_code` VARCHAR(15) NOT NULL, `date_address_to` DATETIME, FOREIGN KEY (`premise_id` ) REFERENCES `Premises`(`premise_id` ) FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||premise_id || date_address_from ||address_type_code || date_address_to 15 || 1 ||1992-08-23 21:17:38 || Billing ||2018-02-28 20:54:58 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(15) NOT NULL, `shipping_method_code` VARCHAR(15) NOT NULL, `order_placed_datetime` DATETIME NOT NULL, `order_delivered_datetime` DATETIME, `order_shipping_charges` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code ||shipping_method_code ||order_placed_datetime ||order_delivered_datetime ||order_shipping_charges 1 || 2 || Cancelled || Unspecified || 2015-06-15 18:19:26 || 2018-03-20 12:00:00 || 85.79 */ CREATE TABLE `Mailshot_Customers` ( `mailshot_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `outcome_code` VARCHAR(15) NOT NULL, `mailshot_customer_date` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`mailshot_id` ) REFERENCES `Mailshot_Campaigns`(`mailshot_id` ) ) /* 1 example row: SELECT * FROM mailshot_customers LIMIT 1; mailshot_id ||customer_id ||outcome_code ||mailshot_customer_date 4 || 3 || Order || 2018-03-15 15:43:14 */ CREATE TABLE `Order_Items` ( `item_id` INTEGER NOT NULL , `order_item_status_code` VARCHAR(15) NOT NULL, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `item_status_code` VARCHAR(15), `item_delivered_datetime` DATETIME, `item_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; item_id ||order_item_status_code ||order_id ||product_id ||item_status_code ||item_delivered_datetime ||item_order_quantity 1 || Delivered || 10 || 13 || good || 2018-02-25 18:22:10 || 6 */ ### Question What are all the distinct premise types?
[query_database(**{'query': 'SELECT DISTINCT premises_type FROM premises'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Premises` ( `premise_id` INTEGER PRIMARY KEY, `premises_type` VARCHAR(15) NOT NULL, `premise_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM premises LIMIT 1; premise_id ||premises_type || premise_details 1 || Warehouse ||036 Lueilwitz Harbor */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_category ||product_name 1 || Food || Coffee Bean */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(15) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `customer_address` VARCHAR(255), `customer_login` VARCHAR(80), `customer_password` VARCHAR(10) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email || customer_address ||customer_login ||customer_password 1 || Credit Card || Wendell ||(773)971-9411x759 ||[email protected] ||618 Webster Stream Apt. 161 || None || b4459ad261 */ CREATE TABLE `Mailshot_Campaigns` ( `mailshot_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15), `mailshot_name` VARCHAR(80), `mailshot_start_date` DATETIME, `mailshot_end_date` DATETIME ) /* 1 example row: SELECT * FROM mailshot_campaigns LIMIT 1; mailshot_id ||product_category ||mailshot_name ||mailshot_start_date || mailshot_end_date 1 || food || US ||2018-02-15 09:52:17 ||2018-03-08 14:40:20 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `premise_id` INTEGER NOT NULL, `date_address_from` DATETIME NOT NULL, `address_type_code` VARCHAR(15) NOT NULL, `date_address_to` DATETIME, FOREIGN KEY (`premise_id` ) REFERENCES `Premises`(`premise_id` ) FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||premise_id || date_address_from ||address_type_code || date_address_to 15 || 1 ||1992-08-23 21:17:38 || Billing ||2018-02-28 20:54:58 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(15) NOT NULL, `shipping_method_code` VARCHAR(15) NOT NULL, `order_placed_datetime` DATETIME NOT NULL, `order_delivered_datetime` DATETIME, `order_shipping_charges` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code ||shipping_method_code ||order_placed_datetime ||order_delivered_datetime ||order_shipping_charges 1 || 2 || Cancelled || Unspecified || 2015-06-15 18:19:26 || 2018-03-20 12:00:00 || 85.79 */ CREATE TABLE `Mailshot_Customers` ( `mailshot_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `outcome_code` VARCHAR(15) NOT NULL, `mailshot_customer_date` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`mailshot_id` ) REFERENCES `Mailshot_Campaigns`(`mailshot_id` ) ) /* 1 example row: SELECT * FROM mailshot_customers LIMIT 1; mailshot_id ||customer_id ||outcome_code ||mailshot_customer_date 4 || 3 || Order || 2018-03-15 15:43:14 */ CREATE TABLE `Order_Items` ( `item_id` INTEGER NOT NULL , `order_item_status_code` VARCHAR(15) NOT NULL, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `item_status_code` VARCHAR(15), `item_delivered_datetime` DATETIME, `item_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; item_id ||order_item_status_code ||order_id ||product_id ||item_status_code ||item_delivered_datetime ||item_order_quantity 1 || Delivered || 10 || 13 || good || 2018-02-25 18:22:10 || 6 */