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 Give the dates of creation for documents that have both budget type codes 'GV' and 'SF'.
[query_database(**{'query': 'SELECT T1.document_date FROM Documents AS T1 JOIN Documents_with_Expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'GV' INTERSECT SELECT T1.document_date FROM Documents AS T1 JOIN Documents_with_Expenses AS T2 ON T1.document_id = T2.document_id WHERE T2.budget_type_code = 'SF''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 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 are there?
[query_database(**{'query': 'SELECT count(*) FROM scientists'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,474
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 Count the number of different scientists 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 */
6,478
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 average hours across all projects?
[query_database(**{'query': 'SELECT avg(hours) 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 */
6,482
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 taken longer than the average number of hours for all projects?
[query_database(**{'query': 'SELECT name FROM projects WHERE hours > (SELECT avg(hours) 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 that has a scientist assigned to it whose name contains 'Smith'?
[query_database(**{'query': 'SELECT T2.name 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 LIKE '%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 */
6,490
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 require between 100 and 300 hours?
[query_database(**{'query': 'SELECT name FROM projects WHERE hours BETWEEN 100 AND 300'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all the scientists in alphabetical order?
[query_database(**{'query': 'SELECT name FROM scientists 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 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 */
6,498
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 require more than 300 hours, and how many scientists are assigned to each?
[query_database(**{'query': 'SELECT count(*) , T1.name FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project WHERE T1.hours > 300 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 */
6,502
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 SSN and names of scientists working on the project with the most hours?
[query_database(**{'query': 'SELECT T3.ssn , 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.hours = (SELECT max(hours) 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 */
6,507
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 not assigned to any project.
[query_database(**{'query': 'SELECT Name 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of scientists who are not working on the project with the highest hours.
[query_database(**{'query': 'SELECT name FROM scientists EXCEPT 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.hours = (SELECT max(hours) 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name of the project that needs the least amount of time to finish and the name of scientists who worked on it.
[query_database(**{'query': 'SELECT T2.name , 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.hours = (SELECT min(hours) 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which winery is the wine that has the highest score from?
[query_database(**{'query': 'SELECT Winery 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 What are the names of all wines produced in 2008?
[query_database(**{'query': 'SELECT Name FROM WINE WHERE YEAR = "2008"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 area and county of all appelations.
[query_database(**{'query': 'SELECT Area , County FROM APPELLATIONS'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of all distinct wines that have scores higher than 90.
[query_database(**{'query': 'SELECT Name FROM WINE WHERE 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 made from red grapes?
[query_database(**{'query': 'SELECT DISTINCT T2.Name FROM GRAPES AS T1 JOIN WINE AS T2 ON T1.Grape = T2.Grape WHERE T1.Color = "Red"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many wines are produced at Robert Biale winery?
[query_database(**{'query': 'SELECT count(*) FROM WINE WHERE Winery = "Robert Biale"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 me the average prices of wines that are produced by appelations in Sonoma County.
[query_database(**{'query': 'SELECT AVG(T2.Price) 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 */
6,546
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 maximum price of wines from the appelation in the Central Coast area, which was produced before 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 */
6,550
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 made from red grapes and with prices above 50?
[query_database(**{'query': 'SELECT T2.Name FROM Grapes AS T1 JOIN WINE AS T2 ON T1.Grape = T2.Grape WHERE T1.Color = "Red" 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 */
6,554
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 wines are there for each grape?
[query_database(**{'query': 'SELECT count(*) , Grape FROM WINE GROUP BY Grape'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,557
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all wines that have prices higher than some wines 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 */
6,561
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of all distinct wines ordered by price.
[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 What is the area of the appelation that produces the highest number of wines before the year of 2010?
[query_database(**{'query': 'SELECT T1.Area FROM APPELLATIONS AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation GROUP BY T2.Appelation HAVING T2.year < 2010 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 "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 */
6,569
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 winery of wines having price between 50 and 100.
[query_database(**{'query': 'SELECT DISTINCT Winery FROM WINE WHERE Price BETWEEN 50 AND 100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
6,572
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 average price and case of wines made from Zinfandel grapes in the year 2009.
[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 */
6,577
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 price and score of wines grouped by appelation?
[query_database(**{'query': 'SELECT avg(Price) , avg(Score) , Appelation FROM WINE GROUP BY Appelation'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,580
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which wineries produce 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 */
6,585
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 that are more expensive then all wines made in the year 2006?
[query_database(**{'query': 'SELECT Name FROM WINE WHERE Price > (SELECT max(Price) FROM WINE WHERE YEAR = 2006)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,589
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, winery and year of the wines whose price is bigger than 100 ordered by year.
[query_database(**{'query': 'SELECT Grape , Winery , YEAR FROM WINE WHERE Price > 100 ORDER 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 */
6,593
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 appelations that produce wines after the year of 2008 but not in Central Coast area.
[query_database(**{'query': 'SELECT Appelation FROM WINE WHERE YEAR > 2008 EXCEPT SELECT Appelation FROM APPELLATIONS WHERE Area = "Central 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 */
6,597
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 county where produces the most number of wines with score higher than 90.
[query_database(**{'query': 'SELECT T1.County FROM APPELLATIONS AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation WHERE T2.Score > 90 GROUP BY T1.County 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 "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 */
6,601
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all locations of train stations?
[query_database(**{'query': 'SELECT DISTINCT LOCATION 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 the names and main services for train stations that have the top three total number of passengers.
[query_database(**{'query': 'SELECT name , main_services FROM station ORDER BY total_passengers 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 "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 which don't have a train station with at least 15 platforms.
[query_database(**{'query': 'SELECT LOCATION FROM station EXCEPT SELECT LOCATION FROM station WHERE number_of_platforms >= 15'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and number of trains in each station.
[query_database(**{'query': 'SELECT T2.name , count(*) FROM train_station AS T1 JOIN station AS T2 ON T1.station_id = T2.station_id GROUP BY T1.station_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 "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 with only 1 station.
[query_database(**{'query': 'SELECT LOCATION FROM station GROUP BY LOCATION HAVING count(*) = 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 Find the names of the trains that do not pass any station located in London.
[query_database(**{'query': 'SELECT T2.name FROM train_station AS T1 JOIN train AS T2 ON T1.train_id = T2.train_id WHERE T1.station_id NOT IN (SELECT T4.station_id FROM train_station AS T3 JOIN station AS T4 ON T3.station_id = T4.station_id WHERE t4.location = "London")'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,624
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 vehicle in total?
[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 */
6,628
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the first name middle name and last name 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 with first name as Janessa and last name as 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 How many employees have a first name of Ludie?
[query_database(**{'query': 'SELECT count(*) FROM Staff WHERE first_name = "Ludie";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 staff in total?
[query_database(**{'query': 'SELECT count(*) 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 In what city does Janessa Sawayn live?
[query_database(**{'query': 'SELECT T1.city 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 */
6,647
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 long is the total lesson time took by the customer named Rylan Goodwin?
[query_database(**{'query': 'SELECT sum(T1.lesson_time) 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";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,652
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 Find out the first name and last name of staff lived in 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 */
6,656
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 || 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 the states which have between 2 to 4 staffs 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 */
6,660
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 email address and birthday of customer whose first name as 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, mobile phone number and email address of customer with last name as Kohler or first name as 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 customer with first name as Carole and last name as Bernhard became 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 */
6,672
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all customer status codes and the number of customers having each status code.
[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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 taken by customer with first name as Rylan and last name as Goodwin were completed?
[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 */
6,680
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the first name and last name of customers have the amount of outstanding between 1000 and 3000.
[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 Which country does customer with first name as Carole and last name as Bernhard lived in?
[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 Which city does has most number of 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 the number of customers that did not have any payment history.
[query_database(**{'query': 'SELECT count(*) FROM Customers WHERE customer_id NOT IN ( SELECT customer_id FROM Customer_Payments );'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all payment methods and number of payments using each payment methods.
[query_database(**{'query': 'SELECT payment_method_code , count(*) FROM Customer_Payments GROUP BY payment_method_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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 have been cancelled?
[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 */
6,703
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 taught by a staff member whose first name has the 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 */
6,707
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 average price for a lesson taught by Janessa 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 What are the last names that are used by customers and 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 do we have?
[query_database(**{'query': 'SELECT count(*) 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 */
6,721
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 rank, first name, and last name for all the faculty.
[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 */
6,726
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 faculty ids of all the male faculty members?
[query_database(**{'query': 'SELECT FacID FROM Faculty WHERE Sex = 'M''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
6,728
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Count the number of female Professors we have.
[query_database(**{'query': 'SELECT count(*) FROM Faculty WHERE Sex = 'F' AND Rank = "Professor"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Professors are in building NEB?
[query_database(**{'query': 'SELECT count(*) FROM Faculty WHERE Rank = "Professor" AND building = "NEB"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,735
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 all the buildings along with the number of faculty members the buildings have.
[query_database(**{'query': 'SELECT building , count(*) FROM Faculty GROUP BY building'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,740
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 In which buildings are there at least ten professors?
[query_database(**{'query': 'SELECT building FROM Faculty WHERE rank = "Professor" GROUP BY building HAVING count(*) >= 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 faculty rank that has the least members.
[query_database(**{'query': 'SELECT rank FROM Faculty GROUP BY rank ORDER BY count(*) ASC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
6,750
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Who is the advisor of Linda Smith? Give me the first name and last name.
[query_database(**{'query': 'SELECT T1.fname , T1.lname FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor WHERE T2.fname = "Linda" AND T2.lname = "Smith"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
6,752
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 have professors as their advisors? Find their student ids.
[query_database(**{'query': 'SELECT T2.StuID FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor WHERE T1.rank = "Professor"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,756
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 faculty id and the number of students each faculty has?
[query_database(**{'query': 'SELECT T1.FacID , count(*) FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor GROUP BY T1.FacID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,760
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the first and last name of the faculty who advises the most students.
[query_database(**{'query': 'SELECT T1.fname , T1.lname FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor GROUP BY T1.FacID 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 faculty members who do not advise any student.
[query_database(**{'query': 'SELECT FacID FROM Faculty EXCEPT 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 */
6,768
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 number of activities available.
[query_database(**{'query': 'SELECT count(*) 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 */
6,772
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 do not participate in any activity? Find their faculty ids.
[query_database(**{'query': 'SELECT FacID FROM Faculty EXCEPT SELECT 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 */
6,776
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 number of activities Mark Giuliano is involved in.
[query_database(**{'query': 'SELECT count(*) FROM Faculty AS T1 JOIN Faculty_participates_in AS T2 ON T1.facID = T2.facID 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 */
6,780
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 is the first and last name of the faculty members who participated in at least one activity? For each of them, also show the number of activities they participated in.
[query_database(**{'query': 'SELECT T1.fname , T1.lname , count(*) , T1.FacID FROM Faculty AS T1 JOIN Faculty_participates_in AS T2 ON T1.facID = T2.facID GROUP BY T1.FacID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,784
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and last name of the faculty who is involved in the largest number of activities.
[query_database(**{'query': 'SELECT T1.fname , T1.lname FROM Faculty AS T1 JOIN Faculty_participates_in AS T2 ON T1.facID = T2.facID GROUP BY T1.FacID 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 not involved in any activity
[query_database(**{'query': 'SELECT StuID FROM Student EXCEPT SELECT StuID FROM 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Tell me the first and last name of the student who has the most activities.
[query_database(**{'query': 'SELECT T1.fname , T1.lname FROM Student AS T1 JOIN Participates_in AS T2 ON T1.StuID = T2.StuID GROUP BY T1.StuID 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 */
6,796
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are playing either Canoeing or Kayaking? Tell me their first names.
[query_database(**{'query': '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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of the faculty members playing both Canoeing and Kayaking?
[query_database(**{'query': 'SELECT 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' INTERSECT SELECT 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 = '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 */
6,804
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the airports in the city of Goroka?
[query_database(**{'query': 'SELECT name FROM airports WHERE city = 'Goroka''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many airlines are there?
[query_database(**{'query': 'SELECT count(*) FROM airlines'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,811
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 maximum elevation of all airports in the country of Iceland?
[query_database(**{'query': 'SELECT max(elevation) FROM airports WHERE country = 'Iceland''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 country of the airlines whose name starts with 'Orbit'.
[query_database(**{'query': 'SELECT country FROM airlines WHERE name LIKE 'Orbit%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
6,819
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which country is the airport that has the highest altitude located in?
[query_database(**{'query': 'SELECT country FROM airports ORDER BY elevation 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 In how many cities are there airports 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 */
6,827
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 number of routes whose destination airports are in Canada.
[query_database(**{'query': 'SELECT count(*) FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.dst_apid WHERE country = 'Canada''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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, city, and country of the airport that has the highest latitude.
[query_database(**{'query': 'SELECT name , city , country FROM airports ORDER BY elevation 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 */
6,835
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of the top 10 airlines that operate the most number of routes.
[query_database(**{'query': 'SELECT T1.name , T2.alid FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid GROUP BY T2.alid ORDER BY count(*) DESC LIMIT 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 number of different airports which are the destinations of the American Airlines.
[query_database(**{'query': 'SELECT count(DISTINCT dst_apid) FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid WHERE T1.name = 'American Airlines''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 countries with the most airlines whose active status is Y?
[query_database(**{'query': 'SELECT country FROM airlines WHERE active = 'Y' 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are there per city in the United States? Order the cities by decreasing number of airports.
[query_database(**{'query': 'SELECT count(*) , city FROM airports WHERE country = 'United States' GROUP BY city 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 */
6,854
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 count of cities with more than 3 airports?
[query_database(**{'query': 'SELECT count(*) FROM (SELECT city FROM airports GROUP BY city HAVING count(*) > 3)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 cities with more than one airport and how many airports do they have?
[query_database(**{'query': 'SELECT city , count(*) FROM airports GROUP BY city HAVING count(*) > 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
6,862
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 For each airport name, how many routes start at that airport, ordered from most to least?
[query_database(**{'query': 'SELECT count(*) , T1.name FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.src_apid GROUP BY T1.name ORDER BY count(*) DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */