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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */ ### Question What distinct accelerator names are compatible with the browswers that have market share higher than 15?
[query_database(**{'query': 'SELECT DISTINCT T1.name FROM web_client_accelerator AS T1 JOIN accelerator_compatible_browser AS T2 ON T2.accelerator_id = T1.id JOIN browser AS T3 ON T2.browser_id = T3.id WHERE T3.market_share > 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 "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */ ### Question Find the number of web accelerators used for each Operating system.
[query_database(**{'query': 'SELECT Operating_system , count(*) FROM web_client_accelerator GROUP BY Operating_system'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Web_client_accelerator" ( "id" int, "name" text, "Operating_system" text, "Client" text, "Connection" text, primary key("id") ) /* 1 example row: SELECT * FROM web_client_accelerator LIMIT 1; id || name || Operating_system || Client || Connection 1 ||CACHEbox ||Appliance (Linux) ||End user, ISP ||Broadband, Satellite, Wireless, Fiber, DSL */ CREATE TABLE "browser" ( "id" int, "name" text, "market_share" real, primary key("id") ) /* 1 example row: SELECT * FROM browser LIMIT 1; id || name ||market_share 1 ||Internet Explorer || 28.96 */ CREATE TABLE "accelerator_compatible_browser" ( "accelerator_id" int, "browser_id" int, "compatible_since_year" int, primary key("accelerator_id", "browser_id"), foreign key ("accelerator_id") references `Web_client_accelerator`("id"), foreign key ("browser_id") references `browser`("id") ) /* 1 example row: SELECT * FROM accelerator_compatible_browser LIMIT 1; accelerator_id ||browser_id ||compatible_since_year 1 || 1 || 1995 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question List the names of wrestlers in descending order of days held.
[query_database(**{'query': 'SELECT Name FROM wrestler ORDER BY Days_held 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 "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
1,850
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question What are the distinct reigns of wrestlers whose location is not "Tokyo,Japan" ?
[query_database(**{'query': 'SELECT DISTINCT Reign FROM wrestler WHERE LOCATION != "Tokyo , Japan"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question What are the elimination moves of wrestlers whose team is "Team Orton"?
[query_database(**{'query': 'SELECT Elimination_Move FROM Elimination WHERE Team = "Team Orton"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question List the names of wrestlers and the teams in elimination in descending order of days held.
[query_database(**{'query': 'SELECT T2.Name , T1.Team FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID ORDER BY T2.Days_held 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 "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question Show times of elimination of wrestlers with days held more than 50.
[query_database(**{'query': 'SELECT T1.Time FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID WHERE T2.Days_held > 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 "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question Show teams that have suffered more than three eliminations.
[query_database(**{'query': 'SELECT Team FROM elimination GROUP BY Team 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 "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
1,873
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question Which reign is the most common among wrestlers?
[query_database(**{'query': 'SELECT Reign FROM wrestler GROUP BY Reign 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 "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question List the names of wrestlers that have not been eliminated.
[query_database(**{'query': 'SELECT Name FROM wrestler WHERE Wrestler_ID NOT IN (SELECT Wrestler_ID FROM elimination)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
1,881
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question How many different teams have had eliminated wrestlers?
[query_database(**{'query': 'SELECT COUNT (DISTINCT team) FROM elimination'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */ ### Question Show the times of elimination by "Punk" or "Orton".
[query_database(**{'query': 'SELECT TIME FROM elimination WHERE Eliminated_By = "Punk" OR Eliminated_By = "Orton"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "wrestler" ( "Wrestler_ID" int, "Name" text, "Reign" text, "Days_held" text, "Location" text, "Event" text, PRIMARY KEY ("Wrestler_ID") ) /* 1 example row: SELECT * FROM wrestler LIMIT 1; Wrestler_ID || Name ||Reign ||Days_held || Location || Event 1 ||Rey Misterio Sr. || 1 || 344 ||Tijuana , Mexico ||Live event */ CREATE TABLE "Elimination" ( "Elimination_ID" text, "Wrestler_ID" text, "Team" text, "Eliminated_By" text, "Elimination_Move" text, "Time" text, PRIMARY KEY ("Elimination_ID"), FOREIGN KEY ("Wrestler_ID") REFERENCES "wrestler"("Wrestler_ID") ) /* 1 example row: SELECT * FROM elimination LIMIT 1; Elimination_ID ||Wrestler_ID || Team ||Eliminated_By ||Elimination_Move || Time 1 || 1 ||Team Orton || Punk || Go To Sleep ||00:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */ ### Question Show all school names in alphabetical order.
[query_database(**{'query': 'SELECT school_name FROM school ORDER BY school_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 "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */ ### Question List the name of the school with the smallest enrollment.
[query_database(**{'query': 'SELECT school_name FROM school ORDER BY enrollment 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 "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */ ### Question List each donator name and the amount of endowment in descending order of the amount of endowment.
[query_database(**{'query': 'SELECT donator_name , sum(amount) FROM endowment GROUP BY donator_name ORDER BY sum(amount) 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 "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */ ### Question Show the names of all the donors except those whose donation amount less than 9.
[query_database(**{'query': 'SELECT donator_name FROM endowment EXCEPT SELECT donator_name FROM endowment WHERE amount < 9'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */
1,902
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */ ### Question Show each school name, its budgeted amount, and invested amount in year 2002 or after.
[query_database(**{'query': 'SELECT T2.school_name , T1.budgeted , T1.invested FROM budget AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id WHERE T1.year >= 2002'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */
1,907
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */ ### Question Find the names of schools that have more than one donator with donation amount above 8.5.
[query_database(**{'query': 'SELECT T2.School_name FROM endowment AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id WHERE T1.amount > 8.5 GROUP BY T1.school_id HAVING count(*) > 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "School" ( "School_id" text, "School_name" text, "Location" text, "Mascot" text, "Enrollment" int, "IHSAA_Class" text, "IHSAA_Football_Class" text, "County" text, PRIMARY KEY ("School_id") ) /* 1 example row: SELECT * FROM school LIMIT 1; School_id ||School_name ||Location ||Mascot ||Enrollment ||IHSAA_Class ||IHSAA_Football_Class || County 1 || Bremen || Bremen || Lions || 495 || AA || AA ||50 Marshall */ CREATE TABLE "budget" ( "School_id" int, "Year" int, "Budgeted" int, "total_budget_percent_budgeted" real, "Invested" int, "total_budget_percent_invested" real, "Budget_invested_percent" text, PRIMARY KEY("School_id","YEAR"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM budget LIMIT 1; School_id ||Year ||Budgeted ||total_budget_percent_budgeted ||Invested ||total_budget_percent_invested ||Budget_invested_percent 2 ||1999 || 4979 || 2.0 || 2134 || 2.0 || 42.9 */ CREATE TABLE "endowment" ( "endowment_id" int, "School_id" int, "donator_name" text, "amount" real, PRIMARY KEY("endowment_id"), FOREIGN KEY("School_id") REFERENCES "School"("School_id") ) /* 1 example row: SELECT * FROM endowment LIMIT 1; endowment_id ||School_id ||donator_name ||amount 1 || 1 || Monte Plata || 9.51 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 1 */ ### Question Show the name, street address, and number of floors for all buildings ordered by the number of floors.
[query_database(**{'query': 'SELECT name , street_address , floors FROM building ORDER BY floors'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 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 "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 1 */ ### Question List the names of buildings with at least 200 feet of height and with at least 20 floors.
[query_database(**{'query': 'SELECT name FROM building WHERE height_feet >= 200 AND floors >= 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 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 "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 1 */ ### Question Show the name of buildings that do not have any institution.
[query_database(**{'query': 'SELECT name FROM building WHERE building_id NOT IN (SELECT building_id FROM institution)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 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 "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 1 */ ### Question Show all the distinct institution types.
[query_database(**{'query': 'SELECT DISTINCT TYPE FROM institution'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 1 */
1,928
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 1 */ ### Question How many proteins are associated with an institution in a building with at least 20 floors?
[query_database(**{'query': 'SELECT count(*) FROM institution AS T1 JOIN protein AS T2 ON T1.institution_id = T2.institution_id JOIN building AS T3 ON T3.building_id = T1.building_id WHERE T3.floors >= 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "building" ( "building_id" text, "Name" text, "Street_address" text, "Years_as_tallest" text, "Height_feet" int, "Floors" int, PRIMARY KEY("building_id") ) /* 1 example row: SELECT * FROM building LIMIT 1; building_id || Name || Street_address ||Years_as_tallest ||Height_feet ||Floors 0 ||Citizens Bank Building ||701 North Franklin Street || 1913–1915 || 145 || 12 */ CREATE TABLE "Institution" ( "Institution_id" text, "Institution" text, "Location" text, "Founded" real, "Type" text, "Enrollment" int, "Team" text, "Primary_Conference" text, "building_id" text, PRIMARY KEY("Institution_id"), FOREIGN KEY ("building_id") REFERENCES "building"("building_id") ) /* 1 example row: SELECT * FROM institution LIMIT 1; Institution_id || Institution || Location ||Founded || Type ||Enrollment || Team ||Primary_Conference ||building_id 0 ||Ave Maria University ||Ave Maria, Florida || 1998.0 ||Private || 1200 ||Gyrenes || The Sun || 1 */ CREATE TABLE "protein" ( "common_name" text, "protein_name" text, "divergence_from_human_lineage" real, "accession_number" text, "sequence_length" real, "sequence_identity_to_human_protein" text, "Institution_id" text, PRIMARY KEY("common_name"), FOREIGN KEY("Institution_id") REFERENCES "Institution"("Institution_id") ) /* 1 example row: SELECT * FROM protein LIMIT 1; common_name || protein_name ||divergence_from_human_lineage ||accession_number ||sequence_length ||sequence_identity_to_human_protein ||Institution_id Tropical Clawed Frog ||uncharacterized protein C20orf117-like || 371.2 || XP_002942331.1 || 1584.0 || 39% || 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 "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */ ### Question How many cinema do we have?
[query_database(**{'query': 'SELECT count(*) FROM cinema'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */ ### Question Show name, opening year, and capacity for each cinema.
[query_database(**{'query': 'SELECT name , openning_year , capacity FROM cinema'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */ ### Question Show all the cinema names and opening years in descending order of opening year.
[query_database(**{'query': 'SELECT name , openning_year FROM cinema ORDER BY openning_year DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */ ### Question Show all the locations with at least two cinemas with capacity above 300.
[query_database(**{'query': 'SELECT LOCATION FROM cinema WHERE capacity > 300 GROUP BY LOCATION HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */ ### Question Who are all the directors?
[query_database(**{'query': 'SELECT DISTINCT directed_by FROM film'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */
1,950
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */ ### Question What is total number of show times per dat for each cinema?
[query_database(**{'query': 'SELECT T2.name , sum(T1.show_times_per_day) FROM schedule AS T1 JOIN cinema AS T2 ON T1.cinema_id = T2.cinema_id GROUP BY T1.cinema_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 "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */
1,955
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */ ### Question Show director with the largest number of show times in total.
[query_database(**{'query': 'SELECT T2.directed_by FROM schedule AS T1 JOIN film AS T2 ON T1.film_id = T2.film_id GROUP BY T2.directed_by ORDER BY sum(T1.show_times_per_day) 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 "film" ( "Film_ID" int, "Rank_in_series" int, "Number_in_season" int, "Title" text, "Directed_by" text, "Original_air_date" text, "Production_code" text, PRIMARY KEY ("Film_ID") ) /* 1 example row: SELECT * FROM film LIMIT 1; Film_ID ||Rank_in_series ||Number_in_season || Title || Directed_by || Original_air_date ||Production_code 1 || 26 || 1 ||The Case of the Mystery Weekend ||Bill Schreiner ||September 21–25, 1992 || 50021–50025 */ CREATE TABLE "cinema" ( "Cinema_ID" int, "Name" text, "Openning_year" int, "Capacity" int, "Location" text, PRIMARY KEY ("Cinema_ID")) /* 1 example row: SELECT * FROM cinema LIMIT 1; Cinema_ID || Name ||Openning_year ||Capacity || Location 1 ||Codling || 2010 || 1100 ||County Wicklow */ CREATE TABLE "schedule" ( "Cinema_ID" int, "Film_ID" int, "Date" text, "Show_times_per_day" int, "Price" float, PRIMARY KEY ("Cinema_ID","Film_ID"), FOREIGN KEY (`Film_ID`) REFERENCES `film`(`Film_ID`), FOREIGN KEY (`Cinema_ID`) REFERENCES `cinema`(`Cinema_ID`) ) /* 1 example row: SELECT * FROM schedule LIMIT 1; Cinema_ID ||Film_ID || Date ||Show_times_per_day ||Price 1 || 1 ||21 May || 5 ||12.99 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 1 */ ### Question Are the customers holding coupons with amount 500 bad or good?
[query_database(**{'query': 'SELECT T1.good_or_bad_customer FROM customers AS T1 JOIN discount_coupons AS T2 ON T1.coupon_id = T2.coupon_id WHERE T2.coupon_amount = 500'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 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 `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 1 */ ### Question What is the id of the product that is booked for 3 times?
[query_database(**{'query': 'SELECT product_id FROM products_booked GROUP BY product_id 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 `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 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 `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 1 */ ### Question How many different product types are there?
[query_database(**{'query': 'SELECT count(DISTINCT product_type_code) FROM products_for_hire'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 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 `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 1 */ ### Question What are all the distinct payment types?
[query_database(**{'query': 'SELECT DISTINCT payment_type_code FROM 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 `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 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 `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 1 */ ### Question What are the payment date of the payment with amount paid higher than 300 or with payment type is 'Check'
[query_database(**{'query': 'SELECT payment_date FROM payments WHERE amount_paid > 300 OR payment_type_code = 'Check''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Discount_Coupons` ( `coupon_id` INTEGER PRIMARY KEY, `date_issued` DATETIME, `coupon_amount` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM discount_coupons LIMIT 1; coupon_id || date_issued ||coupon_amount 1 ||2017-09-06 01:33:27 || 500 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `coupon_id` INTEGER NOT NULL, `good_or_bad_customer` VARCHAR(4), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `gender_mf` VARCHAR(1), `date_became_customer` DATETIME, `date_last_hire` DATETIME, FOREIGN KEY (`coupon_id` ) REFERENCES `Discount_Coupons`(`coupon_id` ) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||coupon_id ||good_or_bad_customer ||first_name ||last_name ||gender_mf ||date_became_customer || date_last_hire 1 || 12 || good || Geovany || Homenick || 0 || 2017-10-20 12:13:17 ||2018-02-27 18:55:26 */ CREATE TABLE `Bookings` ( `booking_id` INTEGER PRIMARY KEY , `customer_id` INTEGER NOT NULL, `booking_status_code` VARCHAR(10) NOT NULL, `returned_damaged_yn` VARCHAR(40), `booking_start_date` DATETIME, `booking_end_date` DATETIME, `count_hired` VARCHAR(40), `amount_payable` DECIMAL(19,4), `amount_of_discount` DECIMAL(19,4), `amount_outstanding` DECIMAL(19,4), `amount_of_refund` DECIMAL(19,4), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM bookings LIMIT 1; booking_id ||customer_id ||booking_status_code ||returned_damaged_yn || booking_start_date || booking_end_date ||count_hired ||amount_payable ||amount_of_discount ||amount_outstanding ||amount_of_refund 1 || 7 || Provisional || 1 ||2016-12-07 23:39:17 ||2018-02-01 16:39:13 || 298 || 214.39 || 71.45 || 28.22 || 179.14 */ CREATE TABLE `Products_for_Hire` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15) NOT NULL, `daily_hire_cost` DECIMAL(19,4), `product_name` VARCHAR(80), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products_for_hire LIMIT 1; product_id ||product_type_code ||daily_hire_cost || product_name ||product_description 1 || Cutlery || 26.15 ||Book collection C || Anna Karenina */ CREATE TABLE `Payments` ( `payment_id` INTEGER PRIMARY KEY, `booking_id` INTEGER, `customer_id` INTEGER NOT NULL, `payment_type_code` VARCHAR(15) NOT NULL, `amount_paid_in_full_yn` VARCHAR(1), `payment_date` DATETIME, `amount_due` DECIMAL(19,4), `amount_paid` DECIMAL(19,4), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM payments LIMIT 1; payment_id ||booking_id ||customer_id ||payment_type_code ||amount_paid_in_full_yn || payment_date ||amount_due ||amount_paid 1 || 6 || 15 || Check || 1 ||2018-03-09 16:28:00 || 369.52 || 206.27 */ CREATE TABLE `Products_Booked` ( `booking_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `returned_yn` VARCHAR(1), `returned_late_yn` VARCHAR(1), `booked_count` INTEGER, `booked_amount` FLOAT NULL, PRIMARY KEY (`booking_id`, `product_id`) FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM products_booked LIMIT 1; booking_id ||product_id ||returned_yn ||returned_late_yn ||booked_count ||booked_amount 4 || 1 || 1 || 1 || 5 || 309.73 */ CREATE TABLE `View_Product_Availability` ( `product_id` INTEGER NOT NULL, `booking_id` INTEGER NOT NULL, `status_date` DATETIME PRIMARY KEY, `available_yn` VARCHAR(1), FOREIGN KEY (`booking_id` ) REFERENCES `Bookings`(`booking_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products_for_Hire`(`product_id` ) ) /* 1 example row: SELECT * FROM view_product_availability LIMIT 1; product_id ||booking_id || status_date ||available_yn 1 || 5 ||2018-03-18 05:25:55 || 1 */
1,980
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "phone" ( "Name" text, "Phone_ID" int, "Memory_in_G" int, "Carrier" text, "Price" real, PRIMARY KEY ("Phone_ID") ) /* 1 example row: SELECT * FROM phone LIMIT 1; Name ||Phone_ID ||Memory_in_G ||Carrier ||Price IPhone 5s || 1 || 32 || Sprint ||320.0 */ CREATE TABLE "market" ( "Market_ID" int, "District" text, "Num_of_employees" int, "Num_of_shops" real, "Ranking" int, PRIMARY KEY ("Market_ID") ) /* 1 example row: SELECT * FROM market LIMIT 1; Market_ID ||District ||Num_of_employees ||Num_of_shops ||Ranking 1 || Alberta || 1966 || 40.0 || 1 */ CREATE TABLE "phone_market" ( "Market_ID" int, "Phone_ID" text, "Num_of_stock" int, PRIMARY KEY ("Market_ID","Phone_ID"), FOREIGN KEY ("Market_ID") REFERENCES `market`("Market_ID"), FOREIGN KEY ("Phone_ID") REFERENCES `phone`("Phone_ID") ) /* 1 example row: SELECT * FROM phone_market LIMIT 1; Market_ID ||Phone_ID ||Num_of_stock 1 || 1 || 2232 */ ### Question What are the memories and carriers of phones?
[query_database(**{'query': 'SELECT Memory_in_G , Carrier FROM phone'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "phone" ( "Name" text, "Phone_ID" int, "Memory_in_G" int, "Carrier" text, "Price" real, PRIMARY KEY ("Phone_ID") ) /* 1 example row: SELECT * FROM phone LIMIT 1; Name ||Phone_ID ||Memory_in_G ||Carrier ||Price IPhone 5s || 1 || 32 || Sprint ||320.0 */ CREATE TABLE "market" ( "Market_ID" int, "District" text, "Num_of_employees" int, "Num_of_shops" real, "Ranking" int, PRIMARY KEY ("Market_ID") ) /* 1 example row: SELECT * FROM market LIMIT 1; Market_ID ||District ||Num_of_employees ||Num_of_shops ||Ranking 1 || Alberta || 1966 || 40.0 || 1 */ CREATE TABLE "phone_market" ( "Market_ID" int, "Phone_ID" text, "Num_of_stock" int, PRIMARY KEY ("Market_ID","Phone_ID"), FOREIGN KEY ("Market_ID") REFERENCES `market`("Market_ID"), FOREIGN KEY ("Phone_ID") REFERENCES `phone`("Phone_ID") ) /* 1 example row: SELECT * FROM phone_market LIMIT 1; Market_ID ||Phone_ID ||Num_of_stock 1 || 1 || 2232 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "phone" ( "Name" text, "Phone_ID" int, "Memory_in_G" int, "Carrier" text, "Price" real, PRIMARY KEY ("Phone_ID") ) /* 1 example row: SELECT * FROM phone LIMIT 1; Name ||Phone_ID ||Memory_in_G ||Carrier ||Price IPhone 5s || 1 || 32 || Sprint ||320.0 */ CREATE TABLE "market" ( "Market_ID" int, "District" text, "Num_of_employees" int, "Num_of_shops" real, "Ranking" int, PRIMARY KEY ("Market_ID") ) /* 1 example row: SELECT * FROM market LIMIT 1; Market_ID ||District ||Num_of_employees ||Num_of_shops ||Ranking 1 || Alberta || 1966 || 40.0 || 1 */ CREATE TABLE "phone_market" ( "Market_ID" int, "Phone_ID" text, "Num_of_stock" int, PRIMARY KEY ("Market_ID","Phone_ID"), FOREIGN KEY ("Market_ID") REFERENCES `market`("Market_ID"), FOREIGN KEY ("Phone_ID") REFERENCES `phone`("Phone_ID") ) /* 1 example row: SELECT * FROM phone_market LIMIT 1; Market_ID ||Phone_ID ||Num_of_stock 1 || 1 || 2232 */ ### Question Show different carriers of phones together with the number of phones with each carrier.
[query_database(**{'query': 'SELECT Carrier , COUNT(*) FROM phone GROUP BY Carrier'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "phone" ( "Name" text, "Phone_ID" int, "Memory_in_G" int, "Carrier" text, "Price" real, PRIMARY KEY ("Phone_ID") ) /* 1 example row: SELECT * FROM phone LIMIT 1; Name ||Phone_ID ||Memory_in_G ||Carrier ||Price IPhone 5s || 1 || 32 || Sprint ||320.0 */ CREATE TABLE "market" ( "Market_ID" int, "District" text, "Num_of_employees" int, "Num_of_shops" real, "Ranking" int, PRIMARY KEY ("Market_ID") ) /* 1 example row: SELECT * FROM market LIMIT 1; Market_ID ||District ||Num_of_employees ||Num_of_shops ||Ranking 1 || Alberta || 1966 || 40.0 || 1 */ CREATE TABLE "phone_market" ( "Market_ID" int, "Phone_ID" text, "Num_of_stock" int, PRIMARY KEY ("Market_ID","Phone_ID"), FOREIGN KEY ("Market_ID") REFERENCES `market`("Market_ID"), FOREIGN KEY ("Phone_ID") REFERENCES `phone`("Phone_ID") ) /* 1 example row: SELECT * FROM phone_market LIMIT 1; Market_ID ||Phone_ID ||Num_of_stock 1 || 1 || 2232 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "phone" ( "Name" text, "Phone_ID" int, "Memory_in_G" int, "Carrier" text, "Price" real, PRIMARY KEY ("Phone_ID") ) /* 1 example row: SELECT * FROM phone LIMIT 1; Name ||Phone_ID ||Memory_in_G ||Carrier ||Price IPhone 5s || 1 || 32 || Sprint ||320.0 */ CREATE TABLE "market" ( "Market_ID" int, "District" text, "Num_of_employees" int, "Num_of_shops" real, "Ranking" int, PRIMARY KEY ("Market_ID") ) /* 1 example row: SELECT * FROM market LIMIT 1; Market_ID ||District ||Num_of_employees ||Num_of_shops ||Ranking 1 || Alberta || 1966 || 40.0 || 1 */ CREATE TABLE "phone_market" ( "Market_ID" int, "Phone_ID" text, "Num_of_stock" int, PRIMARY KEY ("Market_ID","Phone_ID"), FOREIGN KEY ("Market_ID") REFERENCES `market`("Market_ID"), FOREIGN KEY ("Phone_ID") REFERENCES `phone`("Phone_ID") ) /* 1 example row: SELECT * FROM phone_market LIMIT 1; Market_ID ||Phone_ID ||Num_of_stock 1 || 1 || 2232 */ ### Question Show the names of phones that are on market with number of shops greater than 50.
[query_database(**{'query': 'SELECT T3.Name FROM phone_market AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID JOIN phone AS T3 ON T1.Phone_ID = T3.Phone_ID WHERE T2.Num_of_shops > 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 "phone" ( "Name" text, "Phone_ID" int, "Memory_in_G" int, "Carrier" text, "Price" real, PRIMARY KEY ("Phone_ID") ) /* 1 example row: SELECT * FROM phone LIMIT 1; Name ||Phone_ID ||Memory_in_G ||Carrier ||Price IPhone 5s || 1 || 32 || Sprint ||320.0 */ CREATE TABLE "market" ( "Market_ID" int, "District" text, "Num_of_employees" int, "Num_of_shops" real, "Ranking" int, PRIMARY KEY ("Market_ID") ) /* 1 example row: SELECT * FROM market LIMIT 1; Market_ID ||District ||Num_of_employees ||Num_of_shops ||Ranking 1 || Alberta || 1966 || 40.0 || 1 */ CREATE TABLE "phone_market" ( "Market_ID" int, "Phone_ID" text, "Num_of_stock" int, PRIMARY KEY ("Market_ID","Phone_ID"), FOREIGN KEY ("Market_ID") REFERENCES `market`("Market_ID"), FOREIGN KEY ("Phone_ID") REFERENCES `phone`("Phone_ID") ) /* 1 example row: SELECT * FROM phone_market LIMIT 1; Market_ID ||Phone_ID ||Num_of_stock 1 || 1 || 2232 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "phone" ( "Name" text, "Phone_ID" int, "Memory_in_G" int, "Carrier" text, "Price" real, PRIMARY KEY ("Phone_ID") ) /* 1 example row: SELECT * FROM phone LIMIT 1; Name ||Phone_ID ||Memory_in_G ||Carrier ||Price IPhone 5s || 1 || 32 || Sprint ||320.0 */ CREATE TABLE "market" ( "Market_ID" int, "District" text, "Num_of_employees" int, "Num_of_shops" real, "Ranking" int, PRIMARY KEY ("Market_ID") ) /* 1 example row: SELECT * FROM market LIMIT 1; Market_ID ||District ||Num_of_employees ||Num_of_shops ||Ranking 1 || Alberta || 1966 || 40.0 || 1 */ CREATE TABLE "phone_market" ( "Market_ID" int, "Phone_ID" text, "Num_of_stock" int, PRIMARY KEY ("Market_ID","Phone_ID"), FOREIGN KEY ("Market_ID") REFERENCES `market`("Market_ID"), FOREIGN KEY ("Phone_ID") REFERENCES `phone`("Phone_ID") ) /* 1 example row: SELECT * FROM phone_market LIMIT 1; Market_ID ||Phone_ID ||Num_of_stock 1 || 1 || 2232 */ ### Question List the names of phones that are not on any market.
[query_database(**{'query': 'SELECT Name FROM phone WHERE Phone_id NOT IN (SELECT Phone_ID FROM phone_market)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "phone" ( "Name" text, "Phone_ID" int, "Memory_in_G" int, "Carrier" text, "Price" real, PRIMARY KEY ("Phone_ID") ) /* 1 example row: SELECT * FROM phone LIMIT 1; Name ||Phone_ID ||Memory_in_G ||Carrier ||Price IPhone 5s || 1 || 32 || Sprint ||320.0 */ CREATE TABLE "market" ( "Market_ID" int, "District" text, "Num_of_employees" int, "Num_of_shops" real, "Ranking" int, PRIMARY KEY ("Market_ID") ) /* 1 example row: SELECT * FROM market LIMIT 1; Market_ID ||District ||Num_of_employees ||Num_of_shops ||Ranking 1 || Alberta || 1966 || 40.0 || 1 */ CREATE TABLE "phone_market" ( "Market_ID" int, "Phone_ID" text, "Num_of_stock" int, PRIMARY KEY ("Market_ID","Phone_ID"), FOREIGN KEY ("Market_ID") REFERENCES `market`("Market_ID"), FOREIGN KEY ("Phone_ID") REFERENCES `phone`("Phone_ID") ) /* 1 example row: SELECT * FROM phone_market LIMIT 1; Market_ID ||Phone_ID ||Num_of_stock 1 || 1 || 2232 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question What is the name and rank of every company ordered by descending number of sales?
[query_database(**{'query': 'SELECT company , rank FROM company ORDER BY Sales_billion DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 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 "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question What are the names and headquarters of all companies ordered by descending market value?
[query_database(**{'query': 'SELECT company , headquarters FROM company ORDER BY market_value 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 "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,004
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question What are the different main industries for all companies?
[query_database(**{'query': 'SELECT DISTINCT main_industry FROM company'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,008
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question What are the main indstries and total market value for each industry?
[query_database(**{'query': 'SELECT main_industry , sum(market_value) FROM company GROUP BY main_industry'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,012
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question What are the headquarters with at least two companies in the banking industry?
[query_database(**{'query': 'SELECT headquarters FROM company WHERE main_industry = 'Banking' GROUP BY headquarters HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,016
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question What is the total number of gas stations that opened between 2000 and 2005?
[query_database(**{'query': 'SELECT count(*) FROM gas_station WHERE open_year BETWEEN 2000 AND 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 "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,020
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question What are the headquarters that have both a company in the banking and 'oil and gas' industries?
[query_database(**{'query': 'SELECT headquarters FROM company WHERE main_industry = 'Banking' INTERSECT SELECT headquarters FROM company WHERE main_industry = 'Oil and gas''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,024
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question For each company id, what are the companies and how many gas stations does each one operate?
[query_database(**{'query': 'SELECT T2.company , count(*) FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_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 "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,028
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question What are the names of the managers for gas stations that are operated by the ExxonMobil company?
[query_database(**{'query': 'SELECT T3.manager_name FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id JOIN gas_station AS T3 ON T1.station_id = T3.station_id WHERE T2.company = 'ExxonMobil''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 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 "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question What is the name of the manager with the most gas stations that opened after 2000?
[query_database(**{'query': 'SELECT manager_name FROM gas_station WHERE open_year > 2000 GROUP BY manager_name ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,037
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */ ### Question find the location and Representative name of the gas stations owned by the companies with top 3 Asset amounts.
[query_database(**{'query': 'SELECT T3.location , T3.Representative_Name FROM station_company AS T1 JOIN company AS T2 ON T1.company_id = T2.company_id JOIN gas_station AS T3 ON T1.station_id = T3.station_id ORDER BY T2.Assets_billion 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 "company" ( "Company_ID" int, "Rank" int, "Company" text, "Headquarters" text, "Main_Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value" real, PRIMARY KEY ("Company_ID") ) /* 1 example row: SELECT * FROM company LIMIT 1; Company_ID ||Rank || Company ||Headquarters ||Main_Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value 1 || 1 ||ExxonMobil || USA || Oil and gas || 433.5 || 41.1 || 331.1 || 407.4 */ CREATE TABLE "gas_station" ( "Station_ID" int, "Open_Year" int, "Location" text, "Manager_Name" text, "Vice_Manager_Name" text, "Representative_Name" text, PRIMARY KEY ("Station_ID") ) /* 1 example row: SELECT * FROM gas_station LIMIT 1; Station_ID ||Open_Year || Location || Manager_Name ||Vice_Manager_Name ||Representative_Name 1 || 1998 ||Herne Hill ||BrianWingrave || Russell Denman || Clive Burr */ CREATE TABLE "station_company" ( "Station_ID" int, "Company_ID" int, "Rank_of_the_Year" int, PRIMARY KEY ("Station_ID","Company_ID"), FOREIGN KEY (`Station_ID`) REFERENCES `gas_station`(`Station_ID`), FOREIGN KEY (`Company_ID`) REFERENCES `company`(`Company_ID`) ) /* 1 example row: SELECT * FROM station_company LIMIT 1; Station_ID ||Company_ID ||Rank_of_the_Year 11 || 1 || 1 */
2,041
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Show all distinct region names ordered by their labels.
[query_database(**{'query': 'SELECT DISTINCT region_name FROM region ORDER BY Label'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
2,045
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Show the ministers and the time they took and left office, listed by the time they left office.
[query_database(**{'query': 'SELECT minister , took_office , left_office FROM party ORDER BY left_office'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Show all ministers who do not belong to Progress Party.
[query_database(**{'query': 'SELECT minister FROM party WHERE party_name != 'Progress Party''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Return the minister who left office at the latest time.
[query_database(**{'query': 'SELECT minister FROM party ORDER BY left_office 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 "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question How many members are in each party?
[query_database(**{'query': 'SELECT T2.party_name , count(*) FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_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 "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
2,060
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Return the name of the party with the most members.
[query_database(**{'query': 'SELECT T2.party_name FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
2,064
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question What are the names of parties that have no members?
[query_database(**{'query': 'SELECT party_name FROM party WHERE party_id NOT IN (SELECT party_id FROM Member)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Which member names corresponding to members who are not in the Progress Party?
[query_database(**{'query': 'SELECT T1.member_name FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id WHERE T2.Party_name != "Progress Party"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
2,073
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Show all member names who are not in charge of any event.
[query_database(**{'query': 'SELECT member_name FROM member EXCEPT SELECT T1.member_name FROM member AS T1 JOIN party_events AS T2 ON T1.member_id = T2.member_in_charge_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 "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Return the names of parties that have two or more events.
[query_database(**{'query': 'SELECT T2.party_name FROM party_events AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Which event names were used more than twice for party events?
[query_database(**{'query': 'SELECT event_name FROM party_events GROUP BY event_name HAVING count(*) > 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */ ### Question List the names of pilots in ascending order of rank.
[query_database(**{'query': 'SELECT Pilot_name FROM pilot ORDER BY Rank ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */
2,088
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */ ### Question What is the joined year of the pilot of the highest rank?
[query_database(**{'query': 'SELECT Join_Year FROM pilot ORDER BY Rank 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 "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */
2,093
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */ ### Question Show the names of pilots and fleet series of the aircrafts they have flied with in ascending order of the rank of the pilot.
[query_database(**{'query': 'SELECT T3.Pilot_name , T2.Fleet_Series FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN pilot AS T3 ON T1.Pilot_ID = T3.Pilot_ID ORDER BY T3.Rank'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */
2,097
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */ ### Question List the names of pilots that do not have any record.
[query_database(**{'query': 'SELECT Pilot_name FROM pilot WHERE Pilot_ID NOT IN (SELECT Pilot_ID FROM pilot_record)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question What is the description of document type 'Paper'?
[query_database(**{'query': 'SELECT document_type_description FROM Ref_Document_Types WHERE document_type_code = "Paper";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question What is the description of role code ED?
[query_database(**{'query': 'SELECT role_description FROM ROLES WHERE role_code = "ED";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
2,109
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question How many employees does each role have? List role description, id and number of employees.
[query_database(**{'query': 'SELECT T1.role_description , T2.role_code , count(*) FROM ROLES AS T1 JOIN Employees AS T2 ON T1.role_code = T2.role_code GROUP BY T2.role_code;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) 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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
2,113
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question List the document type code for the document with the id 2.
[query_database(**{'query': 'SELECT document_type_code FROM Documents WHERE document_id = 2;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) 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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
2,118
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question What is the receipt date of the document with id 3?
[query_database(**{'query': 'SELECT receipt_date FROM Documents WHERE document_id = 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 Ref_Document_Types ( document_type_code CHAR(15) 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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
2,122
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question List document id of documents status is done and document type is Paper and the document is shipped by shipping agent named USPS.
[query_database(**{'query': 'SELECT document_id FROM Documents WHERE document_status_code = "done" AND document_type_code = "Paper" INTERSECT SELECT document_id FROM Documents JOIN Ref_Shipping_Agents ON Documents.shipping_agent_code = Ref_Shipping_Agents.shipping_agent_code WHERE Ref_Shipping_Agents.shipping_agent_name = "USPS";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
2,125
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question Which document has the most draft copies? List its document id and number of draft copies.
[query_database(**{'query': 'SELECT document_id , count(copy_number) FROM Draft_Copies GROUP BY document_id ORDER BY count(copy_number) DESC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) 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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
2,129
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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_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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question Which employee has showed up in most circulation history documents. List the employee's name and the number of drafts and copies.
[query_database(**{'query': 'SELECT Employees.employee_name , count(*) FROM Employees JOIN Circulation_History ON Circulation_History.employee_id = Employees.employee_id GROUP BY Circulation_History.document_id , Circulation_History.draft_number , Circulation_History.copy_number ORDER BY count(*) DESC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) 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_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
2,133
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE works_on( Essn INTEGER, Pno INTEGER, Hours REAL, PRIMARY KEY(Essn, Pno)) /* 1 example row: SELECT * FROM works_on LIMIT 1; Essn ||Pno ||Hours 123456789 || 1 || 32.5 */ CREATE TABLE employee( Fname TEXT, Minit TEXT, Lname TEXT, Ssn INTEGER PRIMARY KEY, Bdate TEXT, Address TEXT, Sex TEXT, Salary INTEGER, Super_ssn INTEGER, Dno INTEGER) /* 1 example row: SELECT * FROM employee LIMIT 1; Fname ||Minit ||Lname || Ssn || Bdate || Address ||Sex ||Salary ||Super_ssn ||Dno Jonh || B ||Smith ||123456789 ||1965-01-09 ||731 Fondren, Houston, TX || M || 30000 ||333445555 || 5 */ CREATE TABLE department( Dname TEXT, Dnumber INTEGER PRIMARY KEY, Mgr_ssn INTEGER, Mgr_start_date TEXT) /* 1 example row: SELECT * FROM department LIMIT 1; Dname ||Dnumber || Mgr_ssn ||Mgr_start_date Headquarters || 1 ||888665555 || 1981-06-19 */ CREATE TABLE project( Pname Text, Pnumber INTEGER PRIMARY KEY, Plocation TEXT, Dnum INTEGER) /* 1 example row: SELECT * FROM project LIMIT 1; Pname ||Pnumber ||Plocation ||Dnum ProductX || 1 || Bellaire || 5 */ CREATE TABLE dependent( Essn INTEGER, Dependent_name TEXT, Sex TEXT, Bdate TEXT, Relationship TEXT, PRIMARY KEY(Essn, Dependent_name)) /* 1 example row: SELECT * FROM dependent LIMIT 1; Essn ||Dependent_name ||Sex || Bdate ||Relationship 333445555 || Alice || F ||1986-04-05 || Daughter */ CREATE TABLE dept_locations( Dnumber INTEGER, Dlocation TEXT, PRIMARY KEY(Dnumber, Dlocation)) /* 1 example row: SELECT * FROM dept_locations LIMIT 1; Dnumber ||Dlocation 1 || Houston */ ### Question how many female dependents are there?
[query_database(**{'query': 'SELECT count(*) FROM dependent WHERE sex = 'F''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE works_on( Essn INTEGER, Pno INTEGER, Hours REAL, PRIMARY KEY(Essn, Pno)) /* 1 example row: SELECT * FROM works_on LIMIT 1; Essn ||Pno ||Hours 123456789 || 1 || 32.5 */ CREATE TABLE employee( Fname TEXT, Minit TEXT, Lname TEXT, Ssn INTEGER PRIMARY KEY, Bdate TEXT, Address TEXT, Sex TEXT, Salary INTEGER, Super_ssn INTEGER, Dno INTEGER) /* 1 example row: SELECT * FROM employee LIMIT 1; Fname ||Minit ||Lname || Ssn || Bdate || Address ||Sex ||Salary ||Super_ssn ||Dno Jonh || B ||Smith ||123456789 ||1965-01-09 ||731 Fondren, Houston, TX || M || 30000 ||333445555 || 5 */ CREATE TABLE department( Dname TEXT, Dnumber INTEGER PRIMARY KEY, Mgr_ssn INTEGER, Mgr_start_date TEXT) /* 1 example row: SELECT * FROM department LIMIT 1; Dname ||Dnumber || Mgr_ssn ||Mgr_start_date Headquarters || 1 ||888665555 || 1981-06-19 */ CREATE TABLE project( Pname Text, Pnumber INTEGER PRIMARY KEY, Plocation TEXT, Dnum INTEGER) /* 1 example row: SELECT * FROM project LIMIT 1; Pname ||Pnumber ||Plocation ||Dnum ProductX || 1 || Bellaire || 5 */ CREATE TABLE dependent( Essn INTEGER, Dependent_name TEXT, Sex TEXT, Bdate TEXT, Relationship TEXT, PRIMARY KEY(Essn, Dependent_name)) /* 1 example row: SELECT * FROM dependent LIMIT 1; Essn ||Dependent_name ||Sex || Bdate ||Relationship 333445555 || Alice || F ||1986-04-05 || Daughter */ CREATE TABLE dept_locations( Dnumber INTEGER, Dlocation TEXT, PRIMARY KEY(Dnumber, Dlocation)) /* 1 example row: SELECT * FROM dept_locations LIMIT 1; Dnumber ||Dlocation 1 || Houston */
2,137
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE works_on( Essn INTEGER, Pno INTEGER, Hours REAL, PRIMARY KEY(Essn, Pno)) /* 1 example row: SELECT * FROM works_on LIMIT 1; Essn ||Pno ||Hours 123456789 || 1 || 32.5 */ CREATE TABLE employee( Fname TEXT, Minit TEXT, Lname TEXT, Ssn INTEGER PRIMARY KEY, Bdate TEXT, Address TEXT, Sex TEXT, Salary INTEGER, Super_ssn INTEGER, Dno INTEGER) /* 1 example row: SELECT * FROM employee LIMIT 1; Fname ||Minit ||Lname || Ssn || Bdate || Address ||Sex ||Salary ||Super_ssn ||Dno Jonh || B ||Smith ||123456789 ||1965-01-09 ||731 Fondren, Houston, TX || M || 30000 ||333445555 || 5 */ CREATE TABLE department( Dname TEXT, Dnumber INTEGER PRIMARY KEY, Mgr_ssn INTEGER, Mgr_start_date TEXT) /* 1 example row: SELECT * FROM department LIMIT 1; Dname ||Dnumber || Mgr_ssn ||Mgr_start_date Headquarters || 1 ||888665555 || 1981-06-19 */ CREATE TABLE project( Pname Text, Pnumber INTEGER PRIMARY KEY, Plocation TEXT, Dnum INTEGER) /* 1 example row: SELECT * FROM project LIMIT 1; Pname ||Pnumber ||Plocation ||Dnum ProductX || 1 || Bellaire || 5 */ CREATE TABLE dependent( Essn INTEGER, Dependent_name TEXT, Sex TEXT, Bdate TEXT, Relationship TEXT, PRIMARY KEY(Essn, Dependent_name)) /* 1 example row: SELECT * FROM dependent LIMIT 1; Essn ||Dependent_name ||Sex || Bdate ||Relationship 333445555 || Alice || F ||1986-04-05 || Daughter */ CREATE TABLE dept_locations( Dnumber INTEGER, Dlocation TEXT, PRIMARY KEY(Dnumber, Dlocation)) /* 1 example row: SELECT * FROM dept_locations LIMIT 1; Dnumber ||Dlocation 1 || Houston */ ### Question list the first and last names, and the addresses of all employees in the ascending order of their birth date.
[query_database(**{'query': 'SELECT fname , lname , address FROM employee ORDER BY Bdate'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE works_on( Essn INTEGER, Pno INTEGER, Hours REAL, PRIMARY KEY(Essn, Pno)) /* 1 example row: SELECT * FROM works_on LIMIT 1; Essn ||Pno ||Hours 123456789 || 1 || 32.5 */ CREATE TABLE employee( Fname TEXT, Minit TEXT, Lname TEXT, Ssn INTEGER PRIMARY KEY, Bdate TEXT, Address TEXT, Sex TEXT, Salary INTEGER, Super_ssn INTEGER, Dno INTEGER) /* 1 example row: SELECT * FROM employee LIMIT 1; Fname ||Minit ||Lname || Ssn || Bdate || Address ||Sex ||Salary ||Super_ssn ||Dno Jonh || B ||Smith ||123456789 ||1965-01-09 ||731 Fondren, Houston, TX || M || 30000 ||333445555 || 5 */ CREATE TABLE department( Dname TEXT, Dnumber INTEGER PRIMARY KEY, Mgr_ssn INTEGER, Mgr_start_date TEXT) /* 1 example row: SELECT * FROM department LIMIT 1; Dname ||Dnumber || Mgr_ssn ||Mgr_start_date Headquarters || 1 ||888665555 || 1981-06-19 */ CREATE TABLE project( Pname Text, Pnumber INTEGER PRIMARY KEY, Plocation TEXT, Dnum INTEGER) /* 1 example row: SELECT * FROM project LIMIT 1; Pname ||Pnumber ||Plocation ||Dnum ProductX || 1 || Bellaire || 5 */ CREATE TABLE dependent( Essn INTEGER, Dependent_name TEXT, Sex TEXT, Bdate TEXT, Relationship TEXT, PRIMARY KEY(Essn, Dependent_name)) /* 1 example row: SELECT * FROM dependent LIMIT 1; Essn ||Dependent_name ||Sex || Bdate ||Relationship 333445555 || Alice || F ||1986-04-05 || Daughter */ CREATE TABLE dept_locations( Dnumber INTEGER, Dlocation TEXT, PRIMARY KEY(Dnumber, Dlocation)) /* 1 example row: SELECT * FROM dept_locations LIMIT 1; Dnumber ||Dlocation 1 || Houston */
2,141
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_Type_Code CHAR(15) NOT NULL, PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID ||Service_Type_Code 2 || Marriage */ CREATE TABLE Participants ( Participant_ID INTEGER NOT NULL, Participant_Type_Code CHAR(15) NOT NULL, Participant_Details VARCHAR(255), PRIMARY KEY (Participant_ID) ) /* 1 example row: SELECT * FROM participants LIMIT 1; Participant_ID ||Participant_Type_Code ||Participant_Details 9 || Organizer || Karlee Batz */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, Event_Details VARCHAR(255), PRIMARY KEY (Event_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Service_ID ||Event_Details 3 || 5 || Success */ CREATE TABLE Participants_in_Events ( Event_ID INTEGER NOT NULL, Participant_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID, Participant_ID), FOREIGN KEY (Participant_ID) REFERENCES Participants (Participant_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM participants_in_events LIMIT 1; Event_ID ||Participant_ID 3 || 26 */ ### Question What are all the the participant ids, type code and details?
[query_database(**{'query': 'SELECT Participant_ID , Participant_Type_Code , Participant_Details FROM Participants'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_Type_Code CHAR(15) NOT NULL, PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID ||Service_Type_Code 2 || Marriage */ CREATE TABLE Participants ( Participant_ID INTEGER NOT NULL, Participant_Type_Code CHAR(15) NOT NULL, Participant_Details VARCHAR(255), PRIMARY KEY (Participant_ID) ) /* 1 example row: SELECT * FROM participants LIMIT 1; Participant_ID ||Participant_Type_Code ||Participant_Details 9 || Organizer || Karlee Batz */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, Event_Details VARCHAR(255), PRIMARY KEY (Event_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Service_ID ||Event_Details 3 || 5 || Success */ CREATE TABLE Participants_in_Events ( Event_ID INTEGER NOT NULL, Participant_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID, Participant_ID), FOREIGN KEY (Participant_ID) REFERENCES Participants (Participant_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM participants_in_events LIMIT 1; Event_ID ||Participant_ID 3 || 26 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_Type_Code CHAR(15) NOT NULL, PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID ||Service_Type_Code 2 || Marriage */ CREATE TABLE Participants ( Participant_ID INTEGER NOT NULL, Participant_Type_Code CHAR(15) NOT NULL, Participant_Details VARCHAR(255), PRIMARY KEY (Participant_ID) ) /* 1 example row: SELECT * FROM participants LIMIT 1; Participant_ID ||Participant_Type_Code ||Participant_Details 9 || Organizer || Karlee Batz */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, Event_Details VARCHAR(255), PRIMARY KEY (Event_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Service_ID ||Event_Details 3 || 5 || Success */ CREATE TABLE Participants_in_Events ( Event_ID INTEGER NOT NULL, Participant_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID, Participant_ID), FOREIGN KEY (Participant_ID) REFERENCES Participants (Participant_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM participants_in_events LIMIT 1; Event_ID ||Participant_ID 3 || 26 */ ### Question How many events had participants whose details had the substring 'Dr.'
[query_database(**{'query': 'SELECT count(*) FROM participants AS T1 JOIN Participants_in_Events AS T2 ON T1.Participant_ID = T2.Participant_ID WHERE T1.participant_details LIKE '%Dr.%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_Type_Code CHAR(15) NOT NULL, PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID ||Service_Type_Code 2 || Marriage */ CREATE TABLE Participants ( Participant_ID INTEGER NOT NULL, Participant_Type_Code CHAR(15) NOT NULL, Participant_Details VARCHAR(255), PRIMARY KEY (Participant_ID) ) /* 1 example row: SELECT * FROM participants LIMIT 1; Participant_ID ||Participant_Type_Code ||Participant_Details 9 || Organizer || Karlee Batz */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, Event_Details VARCHAR(255), PRIMARY KEY (Event_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Service_ID ||Event_Details 3 || 5 || Success */ CREATE TABLE Participants_in_Events ( Event_ID INTEGER NOT NULL, Participant_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID, Participant_ID), FOREIGN KEY (Participant_ID) REFERENCES Participants (Participant_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM participants_in_events LIMIT 1; Event_ID ||Participant_ID 3 || 26 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_Type_Code CHAR(15) NOT NULL, PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID ||Service_Type_Code 2 || Marriage */ CREATE TABLE Participants ( Participant_ID INTEGER NOT NULL, Participant_Type_Code CHAR(15) NOT NULL, Participant_Details VARCHAR(255), PRIMARY KEY (Participant_ID) ) /* 1 example row: SELECT * FROM participants LIMIT 1; Participant_ID ||Participant_Type_Code ||Participant_Details 9 || Organizer || Karlee Batz */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, Event_Details VARCHAR(255), PRIMARY KEY (Event_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Service_ID ||Event_Details 3 || 5 || Success */ CREATE TABLE Participants_in_Events ( Event_ID INTEGER NOT NULL, Participant_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID, Participant_ID), FOREIGN KEY (Participant_ID) REFERENCES Participants (Participant_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM participants_in_events LIMIT 1; Event_ID ||Participant_ID 3 || 26 */ ### Question Which events id does not have any participant with detail 'Kenyatta Kuhn'?
[query_database(**{'query': 'SELECT event_id FROM EVENTS EXCEPT SELECT T1.event_id FROM Participants_in_Events AS T1 JOIN Participants AS T2 ON T1.Participant_ID = T2.Participant_ID WHERE Participant_Details = 'Kenyatta Kuhn''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_Type_Code CHAR(15) NOT NULL, PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID ||Service_Type_Code 2 || Marriage */ CREATE TABLE Participants ( Participant_ID INTEGER NOT NULL, Participant_Type_Code CHAR(15) NOT NULL, Participant_Details VARCHAR(255), PRIMARY KEY (Participant_ID) ) /* 1 example row: SELECT * FROM participants LIMIT 1; Participant_ID ||Participant_Type_Code ||Participant_Details 9 || Organizer || Karlee Batz */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, Event_Details VARCHAR(255), PRIMARY KEY (Event_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Service_ID ||Event_Details 3 || 5 || Success */ CREATE TABLE Participants_in_Events ( Event_ID INTEGER NOT NULL, Participant_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID, Participant_ID), FOREIGN KEY (Participant_ID) REFERENCES Participants (Participant_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM participants_in_events LIMIT 1; Event_ID ||Participant_ID 3 || 26 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What is the name of the race held most recently?
[query_database(**{'query': 'SELECT name FROM races ORDER BY date 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 "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the names of all the races that occurred in the year 2017?
[query_database(**{'query': 'SELECT name FROM races WHERE YEAR = 2017'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the forenames and surnames of all unique drivers who had a lap time of less than 93000 milliseconds?
[query_database(**{'query': 'SELECT DISTINCT T1.forename , T1.surname FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid WHERE T2.milliseconds < 93000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What is the forename and surname of the driver with the shortest laptime?
[query_database(**{'query': 'SELECT T1.forename , T1.surname FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid ORDER BY T2.milliseconds 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 "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,170
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What is the id, first name, and last name of the driver who was in the first position for laptime at least twice?
[query_database(**{'query': 'SELECT T1.driverid , T1.forename , T1.surname FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid WHERE POSITION = '1' GROUP BY T1.driverid HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,174
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question How many drivers did not race in 2009?
[query_database(**{'query': 'SELECT count(DISTINCT driverId) FROM results WHERE raceId NOT IN( SELECT raceId FROM races WHERE YEAR != 2009 )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,178
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What is the first and last name of all the German drivers?
[query_database(**{'query': 'SELECT forename , surname FROM drivers WHERE nationality = "German"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,182
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the first and last names of all drivers who participated in the Australian Grand Prix but not the Chinese Grand Prix?
[query_database(**{'query': 'SELECT T3.forename , T3.surname FROM races AS T1 JOIN results AS T2 ON T1.raceid = T2.raceid JOIN drivers AS T3 ON T2.driverid = T3.driverid WHERE T1.name = "Australian Grand Prix" EXCEPT SELECT T3.forename , T3.surname FROM races AS T1 JOIN results AS T2 ON T1.raceid = T2.raceid JOIN drivers AS T3 ON T2.driverid = T3.driverid WHERE T1.name = "Chinese Grand Prix"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,186
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the first names of the different drivers who won in position 1 as driver standing and had more than 20 points?
[query_database(**{'query': 'SELECT DISTINCT T1.forename FROM drivers AS T1 JOIN driverstandings AS T2 ON T1.driverid = T2.driverid WHERE T2.position = 1 AND T2.wins = 1 AND T2.points > 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,189
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the numbers of races for each constructor id?
[query_database(**{'query': 'SELECT count(*) , constructorid FROM constructorStandings GROUP BY constructorid'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the unique names of races that held after 2000 and the circuits were in Spain?
[query_database(**{'query': 'SELECT DISTINCT T1.name FROM races AS T1 JOIN circuits AS T2 ON T1.circuitid = T2.circuitid WHERE T2.country = "Spain" AND T1.year > 2000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,197
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question Find the distinct driver id of all drivers that have a longer stop duration than some drivers in the race whose id is 841?
[query_database(**{'query': 'SELECT DISTINCT driverid , STOP FROM pitstops WHERE duration > (SELECT min(duration) FROM pitstops WHERE raceid = 841)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,201
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question List the names of all distinct races in reversed lexicographic order?
[query_database(**{'query': 'SELECT DISTINCT name FROM races ORDER BY name 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 "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the names of races held after 12:00:00 or before 09:00:00?
[query_database(**{'query': 'SELECT name FROM races WHERE TIME > "12:00:00" OR TIME < "09:00:00"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,209
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the drivers' last names and id who had 11 pit stops and participated in more than 5 race results?
[query_database(**{'query': 'SELECT T1.surname , T1.driverid FROM drivers AS T1 JOIN pitstops AS T2 ON T1.driverid = T2.driverid GROUP BY T1.driverid HAVING count(*) = 11 INTERSECT SELECT T1.surname , T1.driverid FROM drivers AS T1 JOIN results AS T2 ON T1.driverid = T2.driverid GROUP BY T1.driverid HAVING count(*) > 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,213
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the names of circuits that belong to UK or Malaysia?
[query_database(**{'query': 'SELECT name FROM circuits WHERE country = "UK" OR country = "Malaysia"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question Find the names of Japanese constructors that have once earned more than 5 points?
[query_database(**{'query': 'SELECT T1.name FROM constructors AS T1 JOIN constructorstandings AS T2 ON T1.constructorid = T2.constructorid WHERE T1.nationality = "Japanese" AND T2.points > 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,221
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What is the maximum fastest lap speed in race named 'Monaco Grand Prix' in 2008 ?
[query_database(**{'query': 'SELECT max(T2.fastestlapspeed) FROM races AS T1 JOIN results AS T2 ON T1.raceid = T2.raceid WHERE T1.year = 2008 AND T1.name = "Monaco Grand Prix"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,224
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question For each race name, What is the maximum fastest lap speed for races after 2004 ordered by year?
[query_database(**{'query': 'SELECT max(T2.fastestlapspeed) , T1.name , T1.year FROM races AS T1 JOIN results AS T2 ON T1.raceid = T2.raceid WHERE T1.year > 2014 GROUP BY T1.name ORDER BY T1.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 "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What is the id, forename, and number of races for all drivers that have participated in at least 2 races?
[query_database(**{'query': 'SELECT T1.driverid , T1.forename , count(*) FROM drivers AS T1 JOIN results AS T2 ON T1.driverid = T2.driverid JOIN races AS T3 ON T2.raceid = T3.raceid GROUP BY T1.driverid HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,232
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the ids and last names of all drivers who participated in the most races?
[query_database(**{'query': 'SELECT T1.driverid , T1.surname FROM drivers AS T1 JOIN results AS T2 ON T1.driverid = T2.driverid JOIN races AS T3 ON T2.raceid = T3.raceid GROUP BY T1.driverid 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 "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,241
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */ ### Question Show the name of technicians aged either 36 or 37
[query_database(**{'query': 'SELECT Name FROM technician WHERE Age = 36 OR Age = 37'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */