Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 BK || Book || excellent */ CREATE TABLE Ref_Budget_Codes ( Budget_Type_Code CHAR(15) NOT NULL, Budget_Type_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Budget_Type_Code) ) /* 1 example row: SELECT * FROM ref_budget_codes LIMIT 1; Budget_Type_Code ||Budget_Type_Description GV || Government */ CREATE TABLE Projects ( Project_ID INTEGER NOT NULL, Project_Details VARCHAR(255), PRIMARY KEY (Project_ID) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Project_ID || Project_Details 30 ||Society Research project */ CREATE TABLE Documents ( Document_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Project_ID INTEGER NOT NULL, Document_Date DATETIME, Document_Name VARCHAR(255), Document_Description VARCHAR(255), Other_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code), FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID) ) /* 1 example row: SELECT * FROM documents LIMIT 1; Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details 29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None */ CREATE TABLE Statements ( Statement_ID INTEGER NOT NULL, Statement_Details VARCHAR(255), PRIMARY KEY (Statement_ID), FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM statements LIMIT 1; Statement_ID ||Statement_Details 57 || Open Project */ CREATE TABLE Documents_with_Expenses ( Document_ID INTEGER NOT NULL, Budget_Type_Code CHAR(15) NOT NULL, Document_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code), FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM documents_with_expenses LIMIT 1; Document_ID ||Budget_Type_Code ||Document_Details 57 || GV || government */ CREATE TABLE Accounts ( Account_ID INTEGER NOT NULL, Statement_ID INTEGER NOT NULL, Account_Details VARCHAR(255), PRIMARY KEY (Account_ID), FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; Account_ID ||Statement_ID ||Account_Details 7 || 57 || 495.063 */ ### Question Return the budget type codes, budget type descriptions and document ids for documents with expenses.
[query_database(**{'query': 'SELECT T2.budget_type_code , T2.budget_type_description , T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_budget_codes AS T2 ON T1.budget_type_code = T2.budget_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 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 BK || Book || excellent */ CREATE TABLE Ref_Budget_Codes ( Budget_Type_Code CHAR(15) NOT NULL, Budget_Type_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Budget_Type_Code) ) /* 1 example row: SELECT * FROM ref_budget_codes LIMIT 1; Budget_Type_Code ||Budget_Type_Description GV || Government */ CREATE TABLE Projects ( Project_ID INTEGER NOT NULL, Project_Details VARCHAR(255), PRIMARY KEY (Project_ID) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Project_ID || Project_Details 30 ||Society Research project */ CREATE TABLE Documents ( Document_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Project_ID INTEGER NOT NULL, Document_Date DATETIME, Document_Name VARCHAR(255), Document_Description VARCHAR(255), Other_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code), FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID) ) /* 1 example row: SELECT * FROM documents LIMIT 1; Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details 29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None */ CREATE TABLE Statements ( Statement_ID INTEGER NOT NULL, Statement_Details VARCHAR(255), PRIMARY KEY (Statement_ID), FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM statements LIMIT 1; Statement_ID ||Statement_Details 57 || Open Project */ CREATE TABLE Documents_with_Expenses ( Document_ID INTEGER NOT NULL, Budget_Type_Code CHAR(15) NOT NULL, Document_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code), FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM documents_with_expenses LIMIT 1; Document_ID ||Budget_Type_Code ||Document_Details 57 || GV || government */ CREATE TABLE Accounts ( Account_ID INTEGER NOT NULL, Statement_ID INTEGER NOT NULL, Account_Details VARCHAR(255), PRIMARY KEY (Account_ID), FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; Account_ID ||Statement_ID ||Account_Details 7 || 57 || 495.063 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 BK || Book || excellent */ CREATE TABLE Ref_Budget_Codes ( Budget_Type_Code CHAR(15) NOT NULL, Budget_Type_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Budget_Type_Code) ) /* 1 example row: SELECT * FROM ref_budget_codes LIMIT 1; Budget_Type_Code ||Budget_Type_Description GV || Government */ CREATE TABLE Projects ( Project_ID INTEGER NOT NULL, Project_Details VARCHAR(255), PRIMARY KEY (Project_ID) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Project_ID || Project_Details 30 ||Society Research project */ CREATE TABLE Documents ( Document_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Project_ID INTEGER NOT NULL, Document_Date DATETIME, Document_Name VARCHAR(255), Document_Description VARCHAR(255), Other_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code), FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID) ) /* 1 example row: SELECT * FROM documents LIMIT 1; Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details 29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None */ CREATE TABLE Statements ( Statement_ID INTEGER NOT NULL, Statement_Details VARCHAR(255), PRIMARY KEY (Statement_ID), FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM statements LIMIT 1; Statement_ID ||Statement_Details 57 || Open Project */ CREATE TABLE Documents_with_Expenses ( Document_ID INTEGER NOT NULL, Budget_Type_Code CHAR(15) NOT NULL, Document_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code), FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM documents_with_expenses LIMIT 1; Document_ID ||Budget_Type_Code ||Document_Details 57 || GV || government */ CREATE TABLE Accounts ( Account_ID INTEGER NOT NULL, Statement_ID INTEGER NOT NULL, Account_Details VARCHAR(255), PRIMARY KEY (Account_ID), FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; Account_ID ||Statement_ID ||Account_Details 7 || 57 || 495.063 */ ### Question What are the different budget type codes, and how many documents are there for each?
[query_database(**{'query': 'SELECT budget_type_code , count(*) FROM Documents_with_expenses GROUP BY budget_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 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 BK || Book || excellent */ CREATE TABLE Ref_Budget_Codes ( Budget_Type_Code CHAR(15) NOT NULL, Budget_Type_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Budget_Type_Code) ) /* 1 example row: SELECT * FROM ref_budget_codes LIMIT 1; Budget_Type_Code ||Budget_Type_Description GV || Government */ CREATE TABLE Projects ( Project_ID INTEGER NOT NULL, Project_Details VARCHAR(255), PRIMARY KEY (Project_ID) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Project_ID || Project_Details 30 ||Society Research project */ CREATE TABLE Documents ( Document_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Project_ID INTEGER NOT NULL, Document_Date DATETIME, Document_Name VARCHAR(255), Document_Description VARCHAR(255), Other_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code), FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID) ) /* 1 example row: SELECT * FROM documents LIMIT 1; Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details 29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None */ CREATE TABLE Statements ( Statement_ID INTEGER NOT NULL, Statement_Details VARCHAR(255), PRIMARY KEY (Statement_ID), FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM statements LIMIT 1; Statement_ID ||Statement_Details 57 || Open Project */ CREATE TABLE Documents_with_Expenses ( Document_ID INTEGER NOT NULL, Budget_Type_Code CHAR(15) NOT NULL, Document_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code), FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM documents_with_expenses LIMIT 1; Document_ID ||Budget_Type_Code ||Document_Details 57 || GV || government */ CREATE TABLE Accounts ( Account_ID INTEGER NOT NULL, Statement_ID INTEGER NOT NULL, Account_Details VARCHAR(255), PRIMARY KEY (Account_ID), FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; Account_ID ||Statement_ID ||Account_Details 7 || 57 || 495.063 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 BK || Book || excellent */ CREATE TABLE Ref_Budget_Codes ( Budget_Type_Code CHAR(15) NOT NULL, Budget_Type_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Budget_Type_Code) ) /* 1 example row: SELECT * FROM ref_budget_codes LIMIT 1; Budget_Type_Code ||Budget_Type_Description GV || Government */ CREATE TABLE Projects ( Project_ID INTEGER NOT NULL, Project_Details VARCHAR(255), PRIMARY KEY (Project_ID) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Project_ID || Project_Details 30 ||Society Research project */ CREATE TABLE Documents ( Document_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Project_ID INTEGER NOT NULL, Document_Date DATETIME, Document_Name VARCHAR(255), Document_Description VARCHAR(255), Other_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code), FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID) ) /* 1 example row: SELECT * FROM documents LIMIT 1; Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details 29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None */ CREATE TABLE Statements ( Statement_ID INTEGER NOT NULL, Statement_Details VARCHAR(255), PRIMARY KEY (Statement_ID), FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM statements LIMIT 1; Statement_ID ||Statement_Details 57 || Open Project */ CREATE TABLE Documents_with_Expenses ( Document_ID INTEGER NOT NULL, Budget_Type_Code CHAR(15) NOT NULL, Document_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code), FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM documents_with_expenses LIMIT 1; Document_ID ||Budget_Type_Code ||Document_Details 57 || GV || government */ CREATE TABLE Accounts ( Account_ID INTEGER NOT NULL, Statement_ID INTEGER NOT NULL, Account_Details VARCHAR(255), PRIMARY KEY (Account_ID), FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; Account_ID ||Statement_ID ||Account_Details 7 || 57 || 495.063 */ ### Question Show ids for all documents in type CV without expense budgets.
[query_database(**{'query': 'SELECT document_id FROM Documents WHERE document_type_code = "CV" EXCEPT SELECT document_id FROM Documents_with_expenses'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 BK || Book || excellent */ CREATE TABLE Ref_Budget_Codes ( Budget_Type_Code CHAR(15) NOT NULL, Budget_Type_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Budget_Type_Code) ) /* 1 example row: SELECT * FROM ref_budget_codes LIMIT 1; Budget_Type_Code ||Budget_Type_Description GV || Government */ CREATE TABLE Projects ( Project_ID INTEGER NOT NULL, Project_Details VARCHAR(255), PRIMARY KEY (Project_ID) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Project_ID || Project_Details 30 ||Society Research project */ CREATE TABLE Documents ( Document_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Project_ID INTEGER NOT NULL, Document_Date DATETIME, Document_Name VARCHAR(255), Document_Description VARCHAR(255), Other_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code), FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID) ) /* 1 example row: SELECT * FROM documents LIMIT 1; Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details 29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None */ CREATE TABLE Statements ( Statement_ID INTEGER NOT NULL, Statement_Details VARCHAR(255), PRIMARY KEY (Statement_ID), FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM statements LIMIT 1; Statement_ID ||Statement_Details 57 || Open Project */ CREATE TABLE Documents_with_Expenses ( Document_ID INTEGER NOT NULL, Budget_Type_Code CHAR(15) NOT NULL, Document_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code), FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM documents_with_expenses LIMIT 1; Document_ID ||Budget_Type_Code ||Document_Details 57 || GV || government */ CREATE TABLE Accounts ( Account_ID INTEGER NOT NULL, Statement_ID INTEGER NOT NULL, Account_Details VARCHAR(255), PRIMARY KEY (Account_ID), FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; Account_ID ||Statement_ID ||Account_Details 7 || 57 || 495.063 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 BK || Book || excellent */ CREATE TABLE Ref_Budget_Codes ( Budget_Type_Code CHAR(15) NOT NULL, Budget_Type_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Budget_Type_Code) ) /* 1 example row: SELECT * FROM ref_budget_codes LIMIT 1; Budget_Type_Code ||Budget_Type_Description GV || Government */ CREATE TABLE Projects ( Project_ID INTEGER NOT NULL, Project_Details VARCHAR(255), PRIMARY KEY (Project_ID) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Project_ID || Project_Details 30 ||Society Research project */ CREATE TABLE Documents ( Document_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Project_ID INTEGER NOT NULL, Document_Date DATETIME, Document_Name VARCHAR(255), Document_Description VARCHAR(255), Other_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code), FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID) ) /* 1 example row: SELECT * FROM documents LIMIT 1; Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details 29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None */ CREATE TABLE Statements ( Statement_ID INTEGER NOT NULL, Statement_Details VARCHAR(255), PRIMARY KEY (Statement_ID), FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM statements LIMIT 1; Statement_ID ||Statement_Details 57 || Open Project */ CREATE TABLE Documents_with_Expenses ( Document_ID INTEGER NOT NULL, Budget_Type_Code CHAR(15) NOT NULL, Document_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code), FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM documents_with_expenses LIMIT 1; Document_ID ||Budget_Type_Code ||Document_Details 57 || GV || government */ CREATE TABLE Accounts ( Account_ID INTEGER NOT NULL, Statement_ID INTEGER NOT NULL, Account_Details VARCHAR(255), PRIMARY KEY (Account_ID), FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; Account_ID ||Statement_ID ||Account_Details 7 || 57 || 495.063 */ ### Question Count the number of documents that do not have expenses.
[query_database(**{'query': 'SELECT count(*) FROM Documents WHERE document_id NOT IN ( SELECT document_id FROM Documents_with_expenses )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 BK || Book || excellent */ CREATE TABLE Ref_Budget_Codes ( Budget_Type_Code CHAR(15) NOT NULL, Budget_Type_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Budget_Type_Code) ) /* 1 example row: SELECT * FROM ref_budget_codes LIMIT 1; Budget_Type_Code ||Budget_Type_Description GV || Government */ CREATE TABLE Projects ( Project_ID INTEGER NOT NULL, Project_Details VARCHAR(255), PRIMARY KEY (Project_ID) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Project_ID || Project_Details 30 ||Society Research project */ CREATE TABLE Documents ( Document_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Project_ID INTEGER NOT NULL, Document_Date DATETIME, Document_Name VARCHAR(255), Document_Description VARCHAR(255), Other_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code), FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID) ) /* 1 example row: SELECT * FROM documents LIMIT 1; Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details 29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None */ CREATE TABLE Statements ( Statement_ID INTEGER NOT NULL, Statement_Details VARCHAR(255), PRIMARY KEY (Statement_ID), FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM statements LIMIT 1; Statement_ID ||Statement_Details 57 || Open Project */ CREATE TABLE Documents_with_Expenses ( Document_ID INTEGER NOT NULL, Budget_Type_Code CHAR(15) NOT NULL, Document_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code), FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM documents_with_expenses LIMIT 1; Document_ID ||Budget_Type_Code ||Document_Details 57 || GV || government */ CREATE TABLE Accounts ( Account_ID INTEGER NOT NULL, Statement_ID INTEGER NOT NULL, Account_Details VARCHAR(255), PRIMARY KEY (Account_ID), FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; Account_ID ||Statement_ID ||Account_Details 7 || 57 || 495.063 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 BK || Book || excellent */ CREATE TABLE Ref_Budget_Codes ( Budget_Type_Code CHAR(15) NOT NULL, Budget_Type_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Budget_Type_Code) ) /* 1 example row: SELECT * FROM ref_budget_codes LIMIT 1; Budget_Type_Code ||Budget_Type_Description GV || Government */ CREATE TABLE Projects ( Project_ID INTEGER NOT NULL, Project_Details VARCHAR(255), PRIMARY KEY (Project_ID) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Project_ID || Project_Details 30 ||Society Research project */ CREATE TABLE Documents ( Document_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Project_ID INTEGER NOT NULL, Document_Date DATETIME, Document_Name VARCHAR(255), Document_Description VARCHAR(255), Other_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code), FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID) ) /* 1 example row: SELECT * FROM documents LIMIT 1; Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details 29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None */ CREATE TABLE Statements ( Statement_ID INTEGER NOT NULL, Statement_Details VARCHAR(255), PRIMARY KEY (Statement_ID), FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM statements LIMIT 1; Statement_ID ||Statement_Details 57 || Open Project */ CREATE TABLE Documents_with_Expenses ( Document_ID INTEGER NOT NULL, Budget_Type_Code CHAR(15) NOT NULL, Document_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code), FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM documents_with_expenses LIMIT 1; Document_ID ||Budget_Type_Code ||Document_Details 57 || GV || government */ CREATE TABLE Accounts ( Account_ID INTEGER NOT NULL, Statement_ID INTEGER NOT NULL, Account_Details VARCHAR(255), PRIMARY KEY (Account_ID), FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; Account_ID ||Statement_ID ||Account_Details 7 || 57 || 495.063 */ ### Question Return the account details with the greatest value, as well as those that include the character 5.
[query_database(**{'query': 'SELECT max(Account_details) FROM Accounts UNION SELECT Account_details FROM Accounts WHERE Account_details LIKE "%5%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 BK || Book || excellent */ CREATE TABLE Ref_Budget_Codes ( Budget_Type_Code CHAR(15) NOT NULL, Budget_Type_Description VARCHAR(255) NOT NULL, PRIMARY KEY (Budget_Type_Code) ) /* 1 example row: SELECT * FROM ref_budget_codes LIMIT 1; Budget_Type_Code ||Budget_Type_Description GV || Government */ CREATE TABLE Projects ( Project_ID INTEGER NOT NULL, Project_Details VARCHAR(255), PRIMARY KEY (Project_ID) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Project_ID || Project_Details 30 ||Society Research project */ CREATE TABLE Documents ( Document_ID INTEGER NOT NULL, Document_Type_Code CHAR(15) NOT NULL, Project_ID INTEGER NOT NULL, Document_Date DATETIME, Document_Name VARCHAR(255), Document_Description VARCHAR(255), Other_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Document_Type_Code) REFERENCES Ref_Document_Types (Document_Type_Code), FOREIGN KEY (Project_ID) REFERENCES Projects (Project_ID) ) /* 1 example row: SELECT * FROM documents LIMIT 1; Document_ID ||Document_Type_Code ||Project_ID || Document_Date || Document_Name ||Document_Description ||Other_Details 29 || CV || 30 ||2004-08-28 06:59:19 ||Review on UK files || None || None */ CREATE TABLE Statements ( Statement_ID INTEGER NOT NULL, Statement_Details VARCHAR(255), PRIMARY KEY (Statement_ID), FOREIGN KEY (Statement_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM statements LIMIT 1; Statement_ID ||Statement_Details 57 || Open Project */ CREATE TABLE Documents_with_Expenses ( Document_ID INTEGER NOT NULL, Budget_Type_Code CHAR(15) NOT NULL, Document_Details VARCHAR(255), PRIMARY KEY (Document_ID), FOREIGN KEY (Budget_Type_Code) REFERENCES Ref_Budget_Codes (Budget_Type_Code), FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID) ) /* 1 example row: SELECT * FROM documents_with_expenses LIMIT 1; Document_ID ||Budget_Type_Code ||Document_Details 57 || GV || government */ CREATE TABLE Accounts ( Account_ID INTEGER NOT NULL, Statement_ID INTEGER NOT NULL, Account_Details VARCHAR(255), PRIMARY KEY (Account_ID), FOREIGN KEY (Statement_ID) REFERENCES Statements (Statement_ID) ) /* 1 example row: SELECT * FROM accounts LIMIT 1; Account_ID ||Statement_ID ||Account_Details 7 || 57 || 495.063 */
6,473
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */ ### Question How many different scientists are assigned to any project?
[query_database(**{'query': 'SELECT count(DISTINCT scientist) FROM assignedto'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */ ### Question How many different projects are there?
[query_database(**{'query': 'SELECT count(DISTINCT name) FROM projects'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */
6,480
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */ ### Question What is the name of the project with the most hours?
[query_database(**{'query': 'SELECT name FROM projects ORDER BY hours 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 Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */
6,484
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */ ### Question What is the name and hours for the project which has the most scientists assigned to it?
[query_database(**{'query': 'SELECT T1.name , T1.hours FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project GROUP BY T2.project 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 Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */
6,487
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */ ### Question Find the total hours of the projects that scientists named Michael Rogers or Carol Smith are assigned to.
[query_database(**{'query': 'SELECT sum(T2.hours) FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T3.name = 'Michael Rogers' OR T3.name = 'Carol Smith''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */ ### Question Find the name of the scientist who worked on both a project named 'Matter of Time' and a project named 'A Puzzling Parallax'.
[query_database(**{'query': 'SELECT T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.name = 'Matter of Time' INTERSECT SELECT T3.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T2.name = 'A Puzzling Parallax''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */ ### Question Find the number of scientists involved for each project name.
[query_database(**{'query': 'SELECT count(*) , T1.name FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project GROUP BY T1.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 Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */
6,499
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */ ### Question Find the number of projects which each scientist is working on and scientist's name.
[query_database(**{'query': 'SELECT count(*) , T1.name FROM scientists AS T1 JOIN assignedto AS T2 ON T1.ssn = T2.scientist GROUP BY T1.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 Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */
6,503
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */ ### Question Find the name of scientists who are assigned to some project.
[query_database(**{'query': 'SELECT T2.name FROM assignedto AS T1 JOIN scientists AS T2 ON T1.scientist = T2.ssn'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */ ### Question What are the names of projects that have not been assigned?
[query_database(**{'query': 'SELECT Name FROM Projects WHERE Code NOT IN (SELECT Project FROM AssignedTo)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */
6,510
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */ ### Question How many scientists do not have any projects assigned to them?
[query_database(**{'query': 'SELECT count(*) FROM scientists WHERE ssn NOT IN (SELECT scientist FROM AssignedTo)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */
6,514
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */ ### Question What are the names of each scientist, the names of the projects that they work on, and the hours for each of those projects, listed in alphabetical order by project name, then scientist name.
[query_database(**{'query': 'SELECT T1.Name , T3.Name , T3.Hours FROM Scientists AS T1 JOIN AssignedTo AS T2 ON T1.SSN = T2.Scientist JOIN Projects AS T3 ON T2.Project = T3.Code ORDER BY T3.Name , T1.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 Scientists ( SSN int, Name Char(30) not null, Primary Key (SSN) ) /* 1 example row: SELECT * FROM scientists LIMIT 1; SSN || Name 123234877 ||Michael Rogers */ CREATE TABLE Projects ( Code Char(4), Name Char(50) not null, Hours int, Primary Key (Code) ) /* 1 example row: SELECT * FROM projects LIMIT 1; Code || Name ||Hours AeH1 ||Winds: Studying Bernoullis Principle || 156 */ CREATE TABLE AssignedTo ( Scientist int not null, Project char(4) not null, Primary Key (Scientist, Project), Foreign Key (Scientist) references Scientists (SSN), Foreign Key (Project) references Projects (Code) ) /* 1 example row: SELECT * FROM assignedto LIMIT 1; Scientist ||Project 123234877 || AeH1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question What is the name of the highest rated wine?
[query_database(**{'query': 'SELECT Name FROM WINE ORDER BY Score 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 "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question List the grapes and appelations of all wines.
[query_database(**{'query': 'SELECT Grape , Appelation FROM WINE'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question What are the names and scores of all wines?
[query_database(**{'query': 'SELECT Name , Score FROM WINE'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question Return the prices of wines produced before 2010.
[query_database(**{'query': 'SELECT Price FROM WINE WHERE YEAR < 2010'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question Find the names of all distinct wines that have appellations in North Coast area.
[query_database(**{'query': 'SELECT DISTINCT T2.Name FROM APPELLATIONs AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation WHERE T1.Area = "North Coast"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,539
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question How many appelations are in Napa Country?
[query_database(**{'query': 'SELECT count(*) FROM APPELLATIONS WHERE County = "Napa"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,543
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question What are the names and scores of wines that are made of white color grapes?
[query_database(**{'query': 'SELECT T2.Name , T2.Score FROM GRAPES AS T1 JOIN WINE AS T2 ON T1.Grape = T2.Grape WHERE T1.Color = "White"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,545
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question Find the maximum price of wins from the appelations in Central Coast area and produced before the year of 2005.
[query_database(**{'query': 'SELECT max(T2.Price) FROM APPELLATIONS AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation WHERE T1.Area = "Central Coast" AND T2.year < 2005'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,548
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question Find the white grape used to produce wines with scores above 90.
[query_database(**{'query': 'SELECT DISTINCT T1.Grape FROM GRAPES AS T1 JOIN WINE AS T2 ON T1.Grape = T2.Grape WHERE T1.Color = "White" AND T2.score > 90'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,552
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question Give the neames of wines with prices below 50 and with appelations in Monterey county.
[query_database(**{'query': 'SELECT T2.Name FROM APPELLATIONS AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation WHERE T1.County = "Monterey" AND T2.price < 50'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,558
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question What are the distinct names of wines with prices higher than any wine from John Anthony winery.
[query_database(**{'query': 'SELECT DISTINCT Name FROM WINE WHERE Price > (SELECT min(Price) FROM wine WHERE Winery = "John Anthony")'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,562
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question What are the names of wines, sorted by price ascending?
[query_database(**{'query': 'SELECT DISTINCT Name FROM WINE ORDER BY price'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question Give the color of the grape whose wine products have the highest average price?
[query_database(**{'query': 'SELECT T1.Color FROM GRAPES AS T1 JOIN WINE AS T2 ON T1.Grape = T2.Grape GROUP BY T2.Grape ORDER BY AVG(Price) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,567
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question Find the distinct names of wines produced before the year of 2000 or after the year of 2010.
[query_database(**{'query': 'SELECT DISTINCT Name FROM WINE WHERE YEAR < 2000 OR YEAR > 2010'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,571
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question What are the average prices and cases of wines produced in the year of 2009 and made of Zinfandel grape?
[query_database(**{'query': 'SELECT AVG(Price) , AVG(Cases) FROM WINE WHERE YEAR = 2009 AND Grape = "Zinfandel"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,575
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question What are the maximum price and score of wines in each year?
[query_database(**{'query': 'SELECT max(Price) , max(Score) , YEAR FROM WINE GROUP BY YEAR'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,579
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question Find the wineries that have at least four wines.
[query_database(**{'query': 'SELECT Winery FROM WINE GROUP BY Winery HAVING count(*) >= 4'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,583
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question What are the names of wines whose production year are before the year of all wines by Brander winery?
[query_database(**{'query': 'SELECT Name FROM WINE WHERE YEAR < (SELECT min(YEAR) FROM WINE WHERE Winery = "Brander")'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,587
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question Find the top 3 wineries with the greatest number of wines made of white color grapes.
[query_database(**{'query': 'SELECT T2.Winery FROM GRAPES AS T1 JOIN WINE AS T2 ON T1.GRAPE = T2.GRAPE WHERE T1.Color = "White" GROUP BY T2.Winery 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 "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,591
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question List the grape, appelation and name of wines whose score is higher than 93 ordered by Name.
[query_database(**{'query': 'SELECT Grape , Appelation , Name FROM WINE WHERE Score > 93 ORDER BY 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 "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,595
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */ ### Question Find the average price of wines that are not produced from Sonoma county.
[query_database(**{'query': 'SELECT avg(price) FROM wine WHERE Appelation NOT IN (SELECT T1.Appelation FROM APPELLATIONS AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation WHERE T1.County = 'Sonoma')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "grapes" ( "ID" INTEGER PRIMARY KEY, "Grape" TEXT UNIQUE, "Color" TEXT ) /* 1 example row: SELECT * FROM grapes LIMIT 1; ID || Grape ||Color 1 ||Barbera || Red */ CREATE TABLE "appellations" ( "No" INTEGER PRIMARY KEY, "Appelation" TEXT UNIQUE, "County" TEXT, "State" TEXT, "Area" TEXT, "isAVA" TEXT ) /* 1 example row: SELECT * FROM appellations LIMIT 1; No || Appelation ||County || State || Area ||isAVA 1 ||Alexander Valley ||Sonoma ||California ||North Coast || Yes */ CREATE TABLE "wine" ( "No" INTEGER, "Grape" TEXT, "Winery" TEXT, "Appelation" TEXT, "State" TEXT, "Name" TEXT, "Year" INTEGER, "Price" INTEGER, "Score" INTEGER, "Cases" INTEGER, "Drink" TEXT, FOREIGN KEY (Grape) REFERENCES grapes(Grape), FOREIGN KEY (Appelation) REFERENCES appellations(Appelation) ) /* 1 example row: SELECT * FROM wine LIMIT 1; No || Grape || Winery ||Appelation || State || Name ||Year ||Price ||Score ||Cases ||Drink 1 ||Zinfandel ||Robert Biale ||St. Helena ||California ||Old Kraft Vineyard ||2008 || 44 || 93 || 275 || now */
6,599
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "station" ( "Station_ID" int, "Name" text, "Annual_entry_exit" real, "Annual_interchanges" real, "Total_Passengers" real, "Location" text, "Main_Services" text, "Number_of_Platforms" int, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM station LIMIT 1; Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms 1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19 */ CREATE TABLE "train" ( "Train_ID" int, "Name" text, "Time" text, "Service" text, PRIMARY KEY ("Train_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID || Name || Time ||Service 1 ||Ananthapuri Express ||17:15 || Daily */ CREATE TABLE "train_station" ( "Train_ID" int, "Station_ID" int, PRIMARY KEY ("Train_ID","Station_ID"), FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"), FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID") ) /* 1 example row: SELECT * FROM train_station LIMIT 1; Train_ID ||Station_ID 1 || 1 */ ### Question How many train stations are there?
[query_database(**{'query': 'SELECT count(*) FROM station'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "station" ( "Station_ID" int, "Name" text, "Annual_entry_exit" real, "Annual_interchanges" real, "Total_Passengers" real, "Location" text, "Main_Services" text, "Number_of_Platforms" int, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM station LIMIT 1; Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms 1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19 */ CREATE TABLE "train" ( "Train_ID" int, "Name" text, "Time" text, "Service" text, PRIMARY KEY ("Train_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID || Name || Time ||Service 1 ||Ananthapuri Express ||17:15 || Daily */ CREATE TABLE "train_station" ( "Train_ID" int, "Station_ID" int, PRIMARY KEY ("Train_ID","Station_ID"), FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"), FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID") ) /* 1 example row: SELECT * FROM train_station LIMIT 1; Train_ID ||Station_ID 1 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "station" ( "Station_ID" int, "Name" text, "Annual_entry_exit" real, "Annual_interchanges" real, "Total_Passengers" real, "Location" text, "Main_Services" text, "Number_of_Platforms" int, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM station LIMIT 1; Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms 1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19 */ CREATE TABLE "train" ( "Train_ID" int, "Name" text, "Time" text, "Service" text, PRIMARY KEY ("Train_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID || Name || Time ||Service 1 ||Ananthapuri Express ||17:15 || Daily */ CREATE TABLE "train_station" ( "Train_ID" int, "Station_ID" int, PRIMARY KEY ("Train_ID","Station_ID"), FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"), FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID") ) /* 1 example row: SELECT * FROM train_station LIMIT 1; Train_ID ||Station_ID 1 || 1 */ ### Question Show all locations and the total number of platforms and passengers for all train stations in each location.
[query_database(**{'query': 'SELECT LOCATION , sum(number_of_platforms) , sum(total_passengers) FROM station GROUP BY LOCATION'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "station" ( "Station_ID" int, "Name" text, "Annual_entry_exit" real, "Annual_interchanges" real, "Total_Passengers" real, "Location" text, "Main_Services" text, "Number_of_Platforms" int, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM station LIMIT 1; Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms 1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19 */ CREATE TABLE "train" ( "Train_ID" int, "Name" text, "Time" text, "Service" text, PRIMARY KEY ("Train_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID || Name || Time ||Service 1 ||Ananthapuri Express ||17:15 || Daily */ CREATE TABLE "train_station" ( "Train_ID" int, "Station_ID" int, PRIMARY KEY ("Train_ID","Station_ID"), FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"), FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID") ) /* 1 example row: SELECT * FROM train_station LIMIT 1; Train_ID ||Station_ID 1 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "station" ( "Station_ID" int, "Name" text, "Annual_entry_exit" real, "Annual_interchanges" real, "Total_Passengers" real, "Location" text, "Main_Services" text, "Number_of_Platforms" int, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM station LIMIT 1; Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms 1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19 */ CREATE TABLE "train" ( "Train_ID" int, "Name" text, "Time" text, "Service" text, PRIMARY KEY ("Train_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID || Name || Time ||Service 1 ||Ananthapuri Express ||17:15 || Daily */ CREATE TABLE "train_station" ( "Train_ID" int, "Station_ID" int, PRIMARY KEY ("Train_ID","Station_ID"), FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"), FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID") ) /* 1 example row: SELECT * FROM train_station LIMIT 1; Train_ID ||Station_ID 1 || 1 */ ### Question Show the name, time, and service for all trains.
[query_database(**{'query': 'SELECT name , TIME , service FROM train'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "station" ( "Station_ID" int, "Name" text, "Annual_entry_exit" real, "Annual_interchanges" real, "Total_Passengers" real, "Location" text, "Main_Services" text, "Number_of_Platforms" int, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM station LIMIT 1; Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms 1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19 */ CREATE TABLE "train" ( "Train_ID" int, "Name" text, "Time" text, "Service" text, PRIMARY KEY ("Train_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID || Name || Time ||Service 1 ||Ananthapuri Express ||17:15 || Daily */ CREATE TABLE "train_station" ( "Train_ID" int, "Station_ID" int, PRIMARY KEY ("Train_ID","Station_ID"), FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"), FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID") ) /* 1 example row: SELECT * FROM train_station LIMIT 1; Train_ID ||Station_ID 1 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "station" ( "Station_ID" int, "Name" text, "Annual_entry_exit" real, "Annual_interchanges" real, "Total_Passengers" real, "Location" text, "Main_Services" text, "Number_of_Platforms" int, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM station LIMIT 1; Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms 1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19 */ CREATE TABLE "train" ( "Train_ID" int, "Name" text, "Time" text, "Service" text, PRIMARY KEY ("Train_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID || Name || Time ||Service 1 ||Ananthapuri Express ||17:15 || Daily */ CREATE TABLE "train_station" ( "Train_ID" int, "Station_ID" int, PRIMARY KEY ("Train_ID","Station_ID"), FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"), FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID") ) /* 1 example row: SELECT * FROM train_station LIMIT 1; Train_ID ||Station_ID 1 || 1 */ ### Question Show the name and service for all trains in order by time.
[query_database(**{'query': 'SELECT name , service FROM train ORDER BY TIME'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "station" ( "Station_ID" int, "Name" text, "Annual_entry_exit" real, "Annual_interchanges" real, "Total_Passengers" real, "Location" text, "Main_Services" text, "Number_of_Platforms" int, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM station LIMIT 1; Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms 1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19 */ CREATE TABLE "train" ( "Train_ID" int, "Name" text, "Time" text, "Service" text, PRIMARY KEY ("Train_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID || Name || Time ||Service 1 ||Ananthapuri Express ||17:15 || Daily */ CREATE TABLE "train_station" ( "Train_ID" int, "Station_ID" int, PRIMARY KEY ("Train_ID","Station_ID"), FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"), FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID") ) /* 1 example row: SELECT * FROM train_station LIMIT 1; Train_ID ||Station_ID 1 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "station" ( "Station_ID" int, "Name" text, "Annual_entry_exit" real, "Annual_interchanges" real, "Total_Passengers" real, "Location" text, "Main_Services" text, "Number_of_Platforms" int, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM station LIMIT 1; Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms 1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19 */ CREATE TABLE "train" ( "Train_ID" int, "Name" text, "Time" text, "Service" text, PRIMARY KEY ("Train_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID || Name || Time ||Service 1 ||Ananthapuri Express ||17:15 || Daily */ CREATE TABLE "train_station" ( "Train_ID" int, "Station_ID" int, PRIMARY KEY ("Train_ID","Station_ID"), FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"), FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID") ) /* 1 example row: SELECT * FROM train_station LIMIT 1; Train_ID ||Station_ID 1 || 1 */ ### Question Show the station name with greatest number of trains.
[query_database(**{'query': 'SELECT T2.name FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id GROUP BY T1.station_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 "station" ( "Station_ID" int, "Name" text, "Annual_entry_exit" real, "Annual_interchanges" real, "Total_Passengers" real, "Location" text, "Main_Services" text, "Number_of_Platforms" int, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM station LIMIT 1; Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms 1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19 */ CREATE TABLE "train" ( "Train_ID" int, "Name" text, "Time" text, "Service" text, PRIMARY KEY ("Train_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID || Name || Time ||Service 1 ||Ananthapuri Express ||17:15 || Daily */ CREATE TABLE "train_station" ( "Train_ID" int, "Station_ID" int, PRIMARY KEY ("Train_ID","Station_ID"), FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"), FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID") ) /* 1 example row: SELECT * FROM train_station LIMIT 1; Train_ID ||Station_ID 1 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "station" ( "Station_ID" int, "Name" text, "Annual_entry_exit" real, "Annual_interchanges" real, "Total_Passengers" real, "Location" text, "Main_Services" text, "Number_of_Platforms" int, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM station LIMIT 1; Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms 1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19 */ CREATE TABLE "train" ( "Train_ID" int, "Name" text, "Time" text, "Service" text, PRIMARY KEY ("Train_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID || Name || Time ||Service 1 ||Ananthapuri Express ||17:15 || Daily */ CREATE TABLE "train_station" ( "Train_ID" int, "Station_ID" int, PRIMARY KEY ("Train_ID","Station_ID"), FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"), FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID") ) /* 1 example row: SELECT * FROM train_station LIMIT 1; Train_ID ||Station_ID 1 || 1 */ ### Question What are the names of the stations which serve both "Ananthapuri Express" and "Guruvayur Express" trains?
[query_database(**{'query': 'SELECT T2.name FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id JOIN train AS T3 ON T3.train_id = T1.train_id WHERE T3.Name = "Ananthapuri Express" INTERSECT SELECT T2.name FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id JOIN train AS T3 ON T3.train_id = T1.train_id WHERE T3.Name = "Guruvayur Express"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "station" ( "Station_ID" int, "Name" text, "Annual_entry_exit" real, "Annual_interchanges" real, "Total_Passengers" real, "Location" text, "Main_Services" text, "Number_of_Platforms" int, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM station LIMIT 1; Station_ID || Name ||Annual_entry_exit ||Annual_interchanges ||Total_Passengers ||Location || Main_Services ||Number_of_Platforms 1 ||London Waterloo || 94.046 || 9.489 || 103.534 || London ||South Western Main Line West of England Main Line || 19 */ CREATE TABLE "train" ( "Train_ID" int, "Name" text, "Time" text, "Service" text, PRIMARY KEY ("Train_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID || Name || Time ||Service 1 ||Ananthapuri Express ||17:15 || Daily */ CREATE TABLE "train_station" ( "Train_ID" int, "Station_ID" int, PRIMARY KEY ("Train_ID","Station_ID"), FOREIGN KEY ("Train_ID") REFERENCES "train"("Train_ID"), FOREIGN KEY ("Station_ID") REFERENCES "station"("Station_ID") ) /* 1 example row: SELECT * FROM train_station LIMIT 1; Train_ID ||Station_ID 1 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question How many vehicles exist?
[query_database(**{'query': 'SELECT count(*) FROM Vehicles;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,629
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What are the first, middle, and last names of all staff?
[query_database(**{'query': 'SELECT first_name , middle_name , last_name FROM Staff;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question When did the staff member named Janessa Sawayn join the company?
[query_database(**{'query': 'SELECT date_joined_staff FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question When did the staff member Janessa Sawayn leave the company?
[query_database(**{'query': 'SELECT date_left_staff FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What is the nickname of the employee named Janessa Sawayn?
[query_database(**{'query': 'SELECT nickname FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question Which country and state does staff with first name as Janessa and last name as Sawayn lived?
[query_database(**{'query': 'SELECT T1.country , T1.state_province_county FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,648
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What is the zip code of staff with first name as Janessa and last name as Sawayn lived?
[query_database(**{'query': 'SELECT T1.zip_postcode FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What is the first and last name of all employees who live in the city Damianfort?
[query_database(**{'query': 'SELECT T2.first_name , T2.last_name FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id WHERE T1.city = "Damianfort";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What are the names of the states that have 2 to 4 employees living there?
[query_database(**{'query': 'SELECT T1.state_province_county FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id GROUP BY T1.state_province_county HAVING count(*) BETWEEN 2 AND 4;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What are the email addresses and date of births for all customers who have a first name of Carole?
[query_database(**{'query': 'SELECT email_address , date_of_birth FROM Customers WHERE first_name = "Carole"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What is the status code, phone number, and email address of the customer whose last name is Kohler or whose first name is Marina?
[query_database(**{'query': 'SELECT customer_status_code , cell_mobile_phone_number , email_address FROM Customers WHERE first_name = "Marina" OR last_name = "Kohler"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question When did Carole Bernhard first become a customer?
[query_database(**{'query': 'SELECT date_became_customer FROM Customers WHERE first_name = "Carole" AND last_name = "Bernhard";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question For each customer status code, how many customers are classified that way?
[query_database(**{'query': 'SELECT customer_status_code , count(*) FROM Customers GROUP BY customer_status_code;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,677
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question How many lessons did the customer Ryan Goodwin complete?
[query_database(**{'query': 'SELECT count(*) FROM Lessons AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Rylan" AND T2.last_name = "Goodwin" AND T1.lesson_status_code = "Completed";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,681
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What are the first and last names of all customers with between 1000 and 3000 dollars outstanding?
[query_database(**{'query': 'SELECT first_name , last_name FROM Customers WHERE amount_outstanding BETWEEN 1000 AND 3000;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What is the country in which the customer Carole Bernhard lived?
[query_database(**{'query': 'SELECT T2.country FROM Customers AS T1 JOIN Addresses AS T2 ON T1.customer_address_id = T2.address_id WHERE T1.first_name = "Carole" AND T1.last_name = "Bernhard"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What is the city with the most customers?
[query_database(**{'query': 'SELECT T2.city FROM Customers AS T1 JOIN Addresses AS T2 ON T1.customer_address_id = T2.address_id GROUP BY T2.city ORDER BY count(*) DESC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question List first name and last name of customers that have more than 2 payments.
[query_database(**{'query': 'SELECT T2.first_name , T2.last_name FROM Customer_Payments AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,698
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question How many lessons were in cancelled state?
[query_database(**{'query': 'SELECT count(*) FROM Lessons WHERE lesson_status_code = "Cancelled";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question How many lessons taught by staff whose first name has letter 'a' in it?
[query_database(**{'query': 'SELECT count(*) FROM Lessons AS T1 JOIN Staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name LIKE "%a%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,706
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What is average lesson price taught by staff with first name as Janessa and last name as Sawayn?
[query_database(**{'query': 'SELECT avg(price) FROM Lessons AS T1 JOIN Staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question Which last names are both used by customers and by staff?
[query_database(**{'query': 'SELECT last_name FROM Customers INTERSECT SELECT last_name FROM Staff'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
6,713
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */ ### Question What is the first name of all employees who do not give any lessons?
[query_database(**{'query': 'SELECT first_name FROM Staff EXCEPT SELECT T2.first_name FROM Lessons AS T1 JOIN Staff AS T2 ON T1.staff_id = T2.staff_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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 3904 Stroman Passage ||Port Melyssa || 14445 || Georgia || USA */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_address_id` INTEGER NOT NULL, `nickname` VARCHAR(80), `first_name` VARCHAR(80), `middle_name` VARCHAR(80), `last_name` VARCHAR(80), `date_of_birth` DATETIME, `date_joined_staff` DATETIME, `date_left_staff` DATETIME, FOREIGN KEY (`staff_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_address_id || nickname ||first_name ||middle_name ||last_name || date_of_birth || date_joined_staff || date_left_staff 1 || 14 ||thompson.constantin || Janessa || Amara || Sawayn ||2010-12-08 16:55:14 ||2017-04-27 03:21:26 ||2018-03-23 22:53:12 */ CREATE TABLE `Vehicles` ( `vehicle_id` INTEGER PRIMARY KEY, `vehicle_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM vehicles LIMIT 1; vehicle_id ||vehicle_details 1 || Van */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_address_id` INTEGER NOT NULL, `customer_status_code` VARCHAR(15) NOT NULL, `date_became_customer` DATETIME, `date_of_birth` DATETIME, `first_name` VARCHAR(80), `last_name` VARCHAR(80), `amount_outstanding` DOUBLE NULL, `email_address` VARCHAR(250), `phone_number` VARCHAR(255), `cell_mobile_phone_number` VARCHAR(255), FOREIGN KEY (`customer_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_address_id ||customer_status_code ||date_became_customer || date_of_birth ||first_name ||last_name ||amount_outstanding || email_address ||phone_number ||cell_mobile_phone_number 1 || 13 || Bad Customer || 2016-05-11 17:03:48 ||1998-12-15 13:24:40 || Carole || Bernhard || 255.0 ||[email protected] || 07278206718 || 861-638-9797 */ CREATE TABLE `Customer_Payments` ( `customer_id` INTEGER NOT NULL, `datetime_payment` DATETIME NOT NULL, `payment_method_code` VARCHAR(10) NOT NULL, `amount_payment` DOUBLE NULL, PRIMARY KEY (`customer_id`,`datetime_payment`), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_payments LIMIT 1; customer_id || datetime_payment ||payment_method_code ||amount_payment 11 ||2018-02-05 18:44:46 || Direct Debit || 9570.93 */ CREATE TABLE `Lessons` ( `lesson_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `lesson_status_code` VARCHAR(15) NOT NULL, `staff_id` INTEGER, `vehicle_id` INTEGER NOT NULL, `lesson_date` DATETIME, `lesson_time` VARCHAR(10), `price` DOUBLE NULL, FOREIGN KEY (`vehicle_id` ) REFERENCES `Vehicles`(`vehicle_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM lessons LIMIT 1; lesson_id ||customer_id ||lesson_status_code ||staff_id ||vehicle_id || lesson_date ||lesson_time ||price 1 || 6 || Cancelled || 8 || 3 ||2018-02-28 10:55:36 || 5 ||199.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Find the list of distinct ranks for faculty.
[query_database(**{'query': 'SELECT DISTINCT rank FROM Faculty'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,722
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question What are the rank, first name, and last name of the faculty members?
[query_database(**{'query': 'SELECT rank , Fname , Lname FROM Faculty'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,724
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question What are the first name, last name, and phone number of all the female faculty members?
[query_database(**{'query': 'SELECT Fname , Lname , phone FROM Faculty WHERE Sex = 'F''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,730
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question What are the phone, room, and building of the faculty member called Jerry Prince?
[query_database(**{'query': 'SELECT phone , room , building FROM Faculty WHERE Fname = "Jerry" AND Lname = "Prince"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Show the first name and last name for all the instructors.
[query_database(**{'query': 'SELECT fname , lname FROM Faculty WHERE Rank = "Instructor"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Find the building that has the largest number of faculty members.
[query_database(**{'query': 'SELECT building FROM Faculty GROUP BY building 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 Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question How many faculty members do we have for each faculty rank?
[query_database(**{'query': 'SELECT rank , count(*) FROM Faculty GROUP BY rank'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,744
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question How many faculty members do we have for each rank and gender?
[query_database(**{'query': 'SELECT rank , sex , count(*) FROM Faculty GROUP BY rank , sex'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question How many male and female assistant professors do we have?
[query_database(**{'query': 'SELECT sex , count(*) FROM Faculty WHERE rank = "AsstProf" GROUP BY sex'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,753
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Show first name and last name for all the students advised by Michael Goodrich.
[query_database(**{'query': 'SELECT T2.fname , T2.lname FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor WHERE T1.fname = "Michael" AND T1.lname = "Goodrich"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,758
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question How many students are advised by each rank of faculty? List the rank and the number of students.
[query_database(**{'query': 'SELECT T1.rank , count(*) FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor GROUP BY T1.rank'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,762
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Which faculty members advise two ore more students? Give me their faculty ids.
[query_database(**{'query': 'SELECT T1.FacID FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor GROUP BY T1.FacID 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 Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question List all the activities we have.
[query_database(**{'query': 'SELECT activity_name FROM Activity'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,770
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Give me the number of faculty members who participate in an activity
[query_database(**{'query': 'SELECT count(DISTINCT FacID) FROM Faculty_participates_in'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,774
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question What are ids of the faculty members who not only participate in an activity but also advise a student.
[query_database(**{'query': 'SELECT FacID FROM Faculty_participates_in INTERSECT SELECT advisor 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 Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,778
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question What are the names of the activities Mark Giuliano is involved in
[query_database(**{'query': 'SELECT T3.activity_name FROM Faculty AS T1 JOIN Faculty_participates_in AS T2 ON T1.facID = T2.facID JOIN Activity AS T3 ON T3.actid = T2.actid WHERE T1.fname = "Mark" AND T1.lname = "Giuliano"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question How many faculty members participate in each activity? Return the activity names and the number of faculty members.
[query_database(**{'query': 'SELECT T1.activity_name , count(*) FROM Activity AS T1 JOIN Faculty_participates_in AS T2 ON T1.actID = T2.actID GROUP BY T1.actID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Which activity has the most faculty members participating in? Find the activity name.
[query_database(**{'query': 'SELECT T1.activity_name FROM Activity AS T1 JOIN Faculty_participates_in AS T2 ON T1.actID = T2.actID GROUP BY T1.actID 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 Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question What are the ids of the students who are under 20 years old and are involved in at least one activity.
[query_database(**{'query': 'SELECT StuID FROM Participates_in INTERSECT SELECT StuID FROM Student WHERE age < 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,794
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Find the name of the activity that has the largest number of student participants.
[query_database(**{'query': 'SELECT T1.activity_name FROM Activity AS T1 JOIN Participates_in AS T2 ON T1.actID = T2.actID GROUP BY T1.actID 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 Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,797
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Find the first names of professors who are not playing Canoeing or Kayaking.
[query_database(**{'query': 'SELECT lname FROM faculty WHERE rank = 'Professor' EXCEPT SELECT DISTINCT T1.lname FROM Faculty AS T1 JOIN Faculty_participates_in AS T2 ON T1.facID = T2.facID JOIN activity AS T3 ON T2.actid = T2.actid WHERE T3.activity_name = 'Canoeing' OR T3.activity_name = 'Kayaking''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
6,802
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */ ### Question Which students participate in both Canoeing and Kayaking as their activities? Tell me their student ids.
[query_database(**{'query': 'SELECT T1.stuid FROM participates_in AS T1 JOIN activity AS T2 ON T2.actid = T2.actid WHERE T2.activity_name = 'Canoeing' INTERSECT SELECT T1.stuid FROM participates_in AS T1 JOIN activity AS T2 ON T2.actid = T2.actid WHERE T2.activity_name = 'Kayaking''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Activity ( actid INTEGER PRIMARY KEY, activity_name varchar(25) ) /* 1 example row: SELECT * FROM activity LIMIT 1; actid || activity_name 770 ||Mountain Climbing */ CREATE TABLE Participates_in ( stuid INTEGER, actid INTEGER, FOREIGN KEY(stuid) REFERENCES Student(StuID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM participates_in LIMIT 1; stuid ||actid 1001 || 770 */ CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER, FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(actid) REFERENCES Activity(actid) ) /* 1 example row: SELECT * FROM faculty_participates_in LIMIT 1; FacID ||actid 1082 || 784 */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What is the name, city, country, and elevation for every airport in the city of New York?
[query_database(**{'query': 'SELECT name , city , country , elevation FROM airports WHERE city = 'New York''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What is the number of airlines based in Russia?
[query_database(**{'query': 'SELECT count(*) FROM airlines WHERE country = 'Russia''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,814
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What are the names of all airports in Cuba or Argentina?
[query_database(**{'query': 'SELECT name FROM airports WHERE country = 'Cuba' OR country = 'Argentina''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What are the names of all airports whose elevation is between -50 and 50?
[query_database(**{'query': 'SELECT name FROM airports WHERE elevation BETWEEN -50 AND 50'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,822
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question How many airports' names have the word Interanation in them?
[query_database(**{'query': 'SELECT count(*) FROM airports WHERE name LIKE '%International%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,823
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question How many different cities do have some airport in the country of Greenland?
[query_database(**{'query': 'SELECT count(DISTINCT city) FROM airports WHERE country = 'Greenland''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,829
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the name, city, and country of the airport that has the lowest altitude.
[query_database(**{'query': 'SELECT name , city , country FROM airports ORDER BY elevation 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question Find the name and city of the airport which is the destination of the most number of routes.
[query_database(**{'query': 'SELECT T1.name , T1.city , T2.dst_apid FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.dst_apid GROUP BY T2.dst_apid 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,838
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What is the name and city of the airport from most of the routes start?
[query_database(**{'query': 'SELECT T1.name , T1.city , T2.src_apid FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.src_apid GROUP BY T2.src_apid 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 routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question What is the name of the country with the most number of home airlines?
[query_database(**{'query': 'SELECT country FROM airlines GROUP BY country ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */
6,846
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */ ### Question How many airlines operate out of each country in descending order?
[query_database(**{'query': 'SELECT country , count(*) FROM airlines GROUP BY country ORDER BY count(*) DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE routes ( rid integer PRIMARY KEY, dst_apid integer, -- Id of destination airport dst_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the destination airport src_apid bigint, -- Id of source airport src_ap varchar(4), -- 3-letter (IATA) or 4-letter (ICAO) code of the source airport alid bigint, -- Id of airline airline varchar(4), -- 2-letter (IATA) or 3-letter (ICAO) code of the airline codeshare text, -- "Y" if this flight is a codeshare (that is, not operated by -- Airline, but another carrier), empty otherwise FOREIGN KEY(dst_apid) REFERENCES airports(apid), FOREIGN KEY(src_apid) REFERENCES airports(apid), FOREIGN KEY(alid) REFERENCES airlines(alid) ) /* 1 example row: SELECT * FROM routes LIMIT 1; rid ||dst_apid ||dst_ap ||src_apid ||src_ap ||alid ||airline ||codeshare 37 || 2990 || KZ || 2965 || AER || 410 || 2B || None */ CREATE TABLE airports ( apid integer PRIMARY KEY, -- Id of the airport name text NOT NULL, -- Name of airport city text, -- Main city served by airport country text, -- Country or territory where airport is located x real, -- Latitude of airport: Decimal degrees, usually to six -- significant digits. Negative is South, positive is North y real, -- Longitude of airport: Decimal degrees, usually to six -- significant digits. Negative is West, positive is East elevation bigint, -- Altitude of airport measured in feets iata character varchar(3), -- 3-letter IATA code. empty or null if not assigned/unknown icao character varchar(4) -- 4-letter ICAO code. empty or null if not assigned ) /* 1 example row: SELECT * FROM airports LIMIT 1; apid || name || city || country || x || y ||elevation ||iata ||icao 1 ||Goroka Airport ||Goroka ||Papua New Guinea ||145.391998291 ||-6.081689834590001 || 5282 || GKA ||AYGA */ CREATE TABLE airlines ( alid integer PRIMARY KEY, -- Id of the airline name text, -- Name of the airline iata varchar(2), -- 2-letter IATA code. empty or null if not assigned/unknown icao varchar(3), -- 3-letter ICAO code. empty or null if not assigned callsign text, -- Airline callsign country text, -- Country or territory where airline is incorporated active varchar(2) -- "Y" if the airline is or has until recently been operational, ) /* 1 example row: SELECT * FROM airlines LIMIT 1; alid || name ||iata ||icao ||callsign ||country ||active -1 ||Unknown || - || N/A || None || None || Y */