Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
1
q_id
int64
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49.1k
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215 values
4,240
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the employees who don't authorize destruction for any document.
[query_database(**{'query': 'SELECT employee_id FROM Employees EXCEPT SELECT Destruction_Authorised_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 */
4,244
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 have destroyed a document.
[query_database(**{'query': 'SELECT DISTINCT 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 */
4,248
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 have either destroyed a document or made an authorization to do this.
[query_database(**{'query': 'SELECT Destroyed_by_Employee_ID FROM Documents_to_be_destroyed UNION SELECT Destruction_Authorised_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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Give me the name of each club.
[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 Find each student's first name.
[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 Return the last name for the members of the club named "Hopkins Student Enterprises".
[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 How many people have membership in the 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 For how many clubs is "Tracy Kim" 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 Find all the male members 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 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 Which club has the most 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 What is the description of the club named "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 What is the description of the club "Pen and Paper Gaming"?
[query_database(**{'query': 'SELECT clubdesc FROM club WHERE 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 Where is the club "Pen and Paper Gaming" located?
[query_database(**{'query': 'SELECT clublocation FROM club WHERE 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 Which clubs are located at "AKW"? Return the club names.
[query_database(**{'query': 'SELECT clubname FROM club WHERE clublocation = "AKW"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 president of the club "Bootup Baltimore"? Give me the first 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 = "Bootup Baltimore" AND t2.position = "President"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 different positions in the club "Bootup Baltimore".
[query_database(**{'query': 'SELECT count(DISTINCT t2.position) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid 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 Count the number of members in club "Bootup Baltimore" whose age is below 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 Which clubs have one or more members from the city with code "HOU"? Give me the names of the clubs.
[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 = "HOU"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the clubs that have "Davis Steven" as a member?
[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.fname = "Davis" AND t3.lname = "Steven"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 members of the club "Hopkins Student Enterprises".
[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 = "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 `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 distinct grant amount for the grants where the documents were sent before '1986-08-26 20:49:27' and grant were ended after '1989-03-16 18:27:16'?
[query_database(**{'query': 'SELECT T1.grant_amount FROM Grants AS T1 JOIN Documents AS T2 ON T1.grant_id = T2.grant_id WHERE T2.sent_date < '1986-08-26 20:49:27' INTERSECT SELECT grant_amount FROM grants WHERE grant_end_date > '1989-03-16 18:27:16''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,324
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 grant amount of the organisations described as research?
[query_database(**{'query': 'SELECT sum(grant_amount) FROM Grants AS T1 JOIN Organisations AS T2 ON T1.organisation_id = T2.organisation_id JOIN organisation_Types AS T3 ON T2.organisation_type = T3.organisation_type WHERE T3.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 */
4,328
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Find the organisation ids and details of the organisations which are involved in
[query_database(**{'query': 'SELECT T2.organisation_id , T2.organisation_details FROM Grants AS T1 JOIN Organisations AS T2 ON T1.organisation_id = T2.organisation_id GROUP BY T2.organisation_id HAVING sum(T1.grant_amount) > 6000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 Which organisation type hires most research staff?
[query_database(**{'query': 'SELECT T1.organisation_type FROM Organisations AS T1 JOIN Research_Staff AS T2 ON T1.organisation_id = T2.employer_organisation_id GROUP BY T1.organisation_type ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 */
4,336
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 response received dates for the documents described as 'Regular' or granted with more than 100?
[query_database(**{'query': 'SELECT T1.response_received_date FROM Documents AS T1 JOIN Document_Types AS T2 ON T1.document_type_code = T2.document_type_code JOIN Grants AS T3 ON T1.grant_id = T3.grant_id WHERE T2.document_description = 'Regular' OR T3.grant_amount > 100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 task details, task ids, and project ids for the progrects that are detailed as 'omnis' or have at least 3 outcomes?
[query_database(**{'query': 'SELECT T1.task_details , T1.task_id , T2.project_id FROM Tasks AS T1 JOIN Projects AS T2 ON T1.project_id = T2.project_id WHERE T2.project_details = 'omnis' UNION SELECT T1.task_details , T1.task_id , T2.project_id FROM Tasks AS T1 JOIN Projects AS T2 ON T1.project_id = T2.project_id JOIN Project_outcomes AS T3 ON T2.project_id = T3.project_id GROUP BY T2.project_id HAVING count(*) > 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 */
4,346
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 grants given by each organisations? Also list the organisation 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 */
4,349
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the project whose research has been published?
[query_database(**{'query': 'SELECT T1.project_details FROM Projects AS T1 JOIN Project_outcomes AS T2 ON T1.project_id = T2.project_id JOIN Research_outcomes AS T3 ON T2.outcome_code = T3.outcome_code WHERE T3.outcome_description LIKE '%Published%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 complete description of the job of a researcher?
[query_database(**{'query': 'SELECT role_description FROM Staff_Roles 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 */
4,358
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which projects have no outcome? List the project details.
[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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which organisation hired the most number of research staff? List the organisation id, type and detail.
[query_database(**{'query': 'SELECT T1.organisation_id , T1.organisation_type , T1.organisation_details 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 Which document type is described with the prefix 'Initial'?
[query_database(**{'query': 'SELECT document_type_code FROM Document_Types WHERE document_description LIKE 'Initial%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,368
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many documents can one grant have at most? List the grant id and number.
[query_database(**{'query': 'SELECT grant_id , count(*) FROM Documents GROUP BY grant_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 all the details of the organisations described as 'Sponsor'? Sort the result in an ascending order.
[query_database(**{'query': 'SELECT organisation_details FROM Organisations AS T1 JOIN organisation_Types AS T2 ON T1.organisation_type = T2.organisation_type WHERE T2.organisation_type_description = 'Sponsor' ORDER BY organisation_details'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 */
4,375
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many patents outcomes were listed for all the projects?
[query_database(**{'query': 'SELECT count(*) FROM Project_outcomes WHERE 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 */
4,378
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 last date of the staff leaving the projects?
[query_database(**{'query': 'SELECT date_to FROM Project_Staff ORDER BY date_to DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 description for the results whose project detail is 'sint'?
[query_database(**{'query': 'SELECT T1.outcome_description FROM Research_outcomes AS T1 JOIN Project_outcomes AS T2 ON T1.outcome_code = T2.outcome_code JOIN Projects AS T3 ON T2.project_id = T3.project_id WHERE T3.project_details = 'sint''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 project details of the projects launched by the organisation
[query_database(**{'query': 'SELECT project_details FROM Projects WHERE organisation_id IN ( SELECT organisation_id FROM Projects GROUP BY 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 How many tasks are there in total?
[query_database(**{'query': 'SELECT count(*) FROM Tasks'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 staff roles of the staff who
[query_database(**{'query': 'SELECT role_code FROM Project_Staff WHERE date_from > '2003-04-19 15:06:20' AND date_to < '2016-03-15 00:33:18''})]
### 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 `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 most common role for the staff?
[query_database(**{'query': 'SELECT role_code FROM Project_Staff GROUP BY role_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 `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 */
4,400
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 does this network has?
[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 */
4,403
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 average age for all people in the table?
[query_database(**{'query': '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 */
4,406
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 type of jobs do they have?
[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 */
4,408
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 oldest person?
[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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 oldest person whose job is 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 */
4,412
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 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 */
4,414
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 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 */
4,416
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 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 */
4,418
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 whose age is greater 30 and job is engineer?
[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 */
4,420
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 average age for each gender?
[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 */
4,422
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 for different job title?
[query_database(**{'query': 'SELECT avg(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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 average age for a male in each job?
[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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 who is 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 */
4,433
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 older than every engineer?
[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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all males in order of their age.
[query_database(**{'query': 'SELECT name FROM Person WHERE gender = 'male' ORDER BY age'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,469
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which friend of Zach has the longest-lasting friendship?
[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 */
4,474
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, age, and job title of persons who are friends with Alice for the longest years.
[query_database(**{'query': 'SELECT T1.name , T1.age , T1.job FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend = 'Alice' AND T2.year = (SELECT max(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 */
4,478
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which person whose friends have the oldest 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 */
4,482
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 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 */
4,486
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What are the names and countries of members?
[query_database(**{'query': 'SELECT Name , Country FROM member'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which countries have more than two members?
[query_database(**{'query': 'SELECT Country FROM member GROUP BY Country 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 "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 distinct leader names of colleges associated with members from country "Canada".
[query_database(**{'query': 'SELECT DISTINCT T1.Leader_Name FROM college AS T1 JOIN member AS T2 ON T1.College_ID = T2.College_ID WHERE T2.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 List the names of members who did not participate in any round.
[query_database(**{'query': 'SELECT Name FROM member WHERE Member_ID NOT IN (SELECT Member_ID FROM round)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,502
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name of the document which has been accessed the most times, as well as the number of times it has been accessed?
[query_database(**{'query': 'SELECT document_name , access_count FROM documents ORDER BY access_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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 total access count of documents that are of the most common document type?
[query_database(**{'query': 'SELECT sum(access_count) FROM documents GROUP BY document_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 `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 list of documents that are both in the most three popular type and have the most three popular structure.
[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 */
4,517
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all the section titles of the document named "David CV"?
[query_database(**{'query': 'SELECT t2.section_title FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code WHERE t1.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 */
4,521
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List all the username and passwords of users with the most popular role.
[query_database(**{'query': 'SELECT user_name , password FROM users GROUP BY role_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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of the document without any images.
[query_database(**{'query': 'SELECT document_name FROM documents EXCEPT SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code JOIN document_sections_images AS t3 ON t2.section_id = t3.section_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 `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 List all the document names which contains "CV".
[query_database(**{'query': 'SELECT document_name FROM documents WHERE document_name LIKE "%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 Find the description of the most popular role among the users that have logged in.
[query_database(**{'query': 'SELECT role_description FROM ROLES WHERE role_code = (SELECT role_code FROM users WHERE user_login = 1 GROUP BY role_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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List all the image name and URLs in the order of their names.
[query_database(**{'query': 'SELECT image_name , image_url FROM images ORDER BY image_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 document types have more than 2 corresponding documents?
[query_database(**{'query': 'SELECT document_type_code FROM documents GROUP BY document_type_code 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 `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 List the names of companies in descending order of market value.
[query_database(**{'query': 'SELECT name FROM Companies ORDER BY Market_Value_billion 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 What are the name and assets of each company, sorted in ascending order of company name?
[query_database(**{'query': 'SELECT name , Assets_billion FROM Companies ORDER BY name 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 maximum and minimum sales of the companies whose industries are not "Banking".
[query_database(**{'query': 'SELECT max(Sales_billion) , min(Sales_billion) FROM Companies WHERE Industry != "Banking"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 in descending order of building height.
[query_database(**{'query': 'SELECT name FROM buildings ORDER BY Height 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 name of a building along with the name of a company whose office is in the building.
[query_database(**{'query': 'SELECT T3.name , 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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name of the building that has the most 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 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 "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 each industry and the corresponding number of companies in that industry.
[query_database(**{'query': 'SELECT Industry , COUNT(*) FROM Companies GROUP BY Industry'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 industry shared by the most companies.
[query_database(**{'query': 'SELECT Industry FROM Companies GROUP BY Industry 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 "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 industries shared by companies whose headquarters are "USA" and companies whose headquarters are "China".
[query_database(**{'query': 'SELECT Industry FROM Companies WHERE Headquarters = "USA" INTERSECT SELECT Industry FROM Companies WHERE Headquarters = "China"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 headquarters shared by more than two 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 What are the names and type codes of products?
[query_database(**{'query': 'SELECT Product_Name , Product_Type_Code FROM Products'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( Address_ID INTEGER 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 different type codes of products and the number of products with each type code.
[query_database(**{'query': 'SELECT Product_Type_Code , COUNT(*) FROM Products GROUP BY Product_Type_Code'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( Address_ID INTEGER 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 */
4,593
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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.
[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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the names of products that are not in any event.
[query_database(**{'query': 'SELECT Product_Name FROM Products WHERE Product_ID NOT IN (SELECT Product_ID FROM Products_in_Events)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What are the names of the chairs of festivals, sorted in ascending order of the year held?
[query_database(**{'query': 'SELECT Chair_Name FROM festival_detail ORDER BY YEAR ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 the three most recent festivals.
[query_database(**{'query': 'SELECT Festival_Name FROM festival_detail ORDER BY YEAR 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 "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 festivals that have nominated artworks of type "Program Talent Show".
[query_database(**{'query': 'SELECT T3.Festival_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 WHERE T2.Type = "Program Talent Show"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the most common type of artworks.
[query_database(**{'query': 'SELECT TYPE FROM artwork GROUP BY TYPE ORDER BY COUNT(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 total number of the audiences who visited any of the festivals?
[query_database(**{'query': 'SELECT sum(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 `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 Find the types and details for all premises and order by the premise type.
[query_database(**{'query': 'SELECT premises_type , premise_details FROM premises ORDER BY premises_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 `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 */
4,626
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show the name and phone for customers with a mailshot with outcome code 'No Response'.
[query_database(**{'query': 'SELECT T1.customer_name , T1.customer_phone FROM customers AS T1 JOIN mailshot_customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.outcome_code = 'No Response''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the name and payment method of customers who have both mailshots in 'Order' outcome and mailshots in 'No Response' outcome.
[query_database(**{'query': 'SELECT T2.customer_name , T2.payment_method FROM mailshot_customers AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id WHERE T1.outcome_code = 'Order' INTERSECT SELECT T2.customer_name , T2.payment_method FROM mailshot_customers AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id WHERE T1.outcome_code = 'No Response''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,634
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show the names of customers having an order with shipping method FedEx and order status Paid.
[query_database(**{'query': 'SELECT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE shipping_method_code = 'FedEx' AND order_status_code = 'Paid''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
4,638
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Count the number of courses with more than 2 credits.
[query_database(**{'query': 'SELECT count(*) FROM COURSE WHERE Credits > 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,643
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What is the number of departments in Division "AS"?
[query_database(**{'query': 'SELECT count(*) FROM DEPARTMENT WHERE Division = "AS"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,647
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the number of students that have at least one grade "B".
[query_database(**{'query': 'SELECT COUNT(DISTINCT StuID) FROM ENROLLED_IN WHERE Grade = "B"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */