Datasets:
truongpdd
/
BIRD_for_augment_sql2question

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 different teams in eliminations and the number of eliminations from each team.
[query_database(**{'query': 'SELECT Team , COUNT(*) FROM elimination GROUP BY Team'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 reign and days held of wrestlers.
[query_database(**{'query': 'SELECT Reign , Days_held FROM wrestler'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,871
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Return the names of wrestlers with fewer than 100 days held.
[query_database(**{'query': 'SELECT Name FROM wrestler WHERE Days_held < 100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
1,875
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 locations are shared by more than two wrestlers?
[query_database(**{'query': 'SELECT LOCATION FROM wrestler 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 "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 teams that have both wrestlers eliminated by "Orton" and wrestlers eliminated by "Benjamin".
[query_database(**{'query': 'SELECT Team FROM Elimination WHERE Eliminated_By = "Orton" INTERSECT SELECT Team FROM Elimination WHERE Eliminated_By = "Benjamin"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many schools are there?
[query_database(**{'query': 'SELECT count(*) FROM school'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What are the total and average enrollment of all schools?
[query_database(**{'query': 'SELECT sum(enrollment) , avg(enrollment) FROM school'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 each county along with the number of schools and total enrollment in each county.
[query_database(**{'query': 'SELECT county , count(*) , sum(enrollment) FROM school GROUP BY county'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,896
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all the names of schools with an endowment amount smaller than or equal to 10.
[query_database(**{'query': 'SELECT T2.school_name FROM endowment AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id GROUP BY T1.school_id HAVING sum(T1.amount) <= 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
1,900
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many budgets are above 3000 in year 2001 or before?
[query_database(**{'query': 'SELECT count(*) FROM budget WHERE budgeted > 3000 AND YEAR <= 2001'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,904
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many budget record has a budget amount smaller than the invested amount?
[query_database(**{'query': 'SELECT count(*) FROM budget WHERE budgeted < invested'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,908
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 number of schools that have more than one donator whose donation amount is less than 8.5.
[query_database(**{'query': 'SELECT count(*) FROM (SELECT * FROM endowment WHERE amount > 8.5 GROUP BY 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 */
1,912
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What is the name of the tallest building?
[query_database(**{'query': 'SELECT name FROM building ORDER BY height_feet 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 "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 names and locations of institutions that are founded after 1990 and have the type "Private".
[query_database(**{'query': 'SELECT institution , LOCATION FROM institution WHERE founded > 1990 AND TYPE = 'Private''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
1,918
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 institution type with the largest number of institutions.
[query_database(**{'query': 'SELECT TYPE FROM institution GROUP BY TYPE ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
1,922
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 For each building, show the name of the building and the number of institutions in it.
[query_database(**{'query': 'SELECT T1.name , count(*) FROM building AS T1 JOIN institution AS T2 ON T1.building_id = T2.building_id GROUP BY T1.building_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 "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 */
1,927
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 protein name and the institution name.
[query_database(**{'query': 'SELECT T2.protein_name , T1.institution FROM institution AS T1 JOIN protein AS T2 ON T1.institution_id = T2.institution_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 "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 Show all the locations where no cinema has capacity over 800.
[query_database(**{'query': 'SELECT LOCATION FROM cinema EXCEPT SELECT LOCATION FROM cinema WHERE capacity > 800'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the cinema name and location for cinemas with capacity above average.
[query_database(**{'query': 'SELECT name , LOCATION FROM cinema WHERE capacity > (SELECT avg(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 the average, minimum, and maximum capacity for all the cinemas opened in year 2011 or later.
[query_database(**{'query': 'SELECT avg(capacity) , min(capacity) , max(capacity) FROM cinema WHERE openning_year >= 2011'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which locations have 2 or more cinemas with capacity over 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 What are the title and director of each film?
[query_database(**{'query': 'SELECT title , 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the title and maximum price of each film?
[query_database(**{'query': 'SELECT T2.title , max(T1.price) FROM schedule AS T1 JOIN film AS T2 ON T1.film_id = T2.film_id GROUP BY T1.film_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 */
1,954
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the title and director of the films without any schedule?
[query_database(**{'query': 'SELECT title , directed_by FROM film WHERE film_id NOT IN (SELECT film_id FROM schedule)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many films have the word 'Dummy' in their titles?
[query_database(**{'query': 'SELECT count(*) FROM film WHERE title LIKE "%Dummy%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What is the maximum total amount paid by a customer? List the customer id and amount.
[query_database(**{'query': 'SELECT customer_id , sum(amount_paid) FROM Payments GROUP BY customer_id ORDER BY sum(amount_paid) 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 `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 start date and end date of the booking that has booked the product named 'Book collection A'?
[query_database(**{'query': 'SELECT T3.booking_start_date , T3.booking_end_date FROM Products_for_hire AS T1 JOIN products_booked AS T2 ON T1.product_id = T2.product_id JOIN bookings AS T3 ON T2.booking_id = T3.booking_id WHERE T1.product_name = 'Book collection A''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `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 average amount due for all the payments?
[query_database(**{'query': 'SELECT avg(amount_due) 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 How many products are never booked with amount higher than 200?
[query_database(**{'query': 'SELECT count(*) FROM Products_for_hire WHERE product_id NOT IN ( SELECT product_id FROM products_booked WHERE booked_amount > 200 )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 "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 How many phones are there?
[query_database(**{'query': 'SELECT count(*) 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 the names of phones with carrier either "Sprint" or "TMobile".
[query_database(**{'query': 'SELECT Name FROM phone WHERE Carrier = "Sprint" OR Carrier = "TMobile"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 carriers that have both phones with memory smaller than 32 and phones with memory bigger than 64.
[query_database(**{'query': 'SELECT Carrier FROM phone WHERE Memory_in_G < 32 INTERSECT SELECT Carrier FROM phone WHERE Memory_in_G > 64'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 For each phone, show its names and total number of stocks.
[query_database(**{'query': 'SELECT T2.Name , sum(T1.Num_of_stock) FROM phone_market AS T1 JOIN phone AS T2 ON T1.Phone_ID = T2.Phone_ID GROUP BY T2.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 "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 total number of companies?
[query_database(**{'query': 'SELECT count(*) 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 */
1,997
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show the company name and the main industry for all companies whose headquarters are not from USA.
[query_database(**{'query': 'SELECT company , main_industry FROM company WHERE headquarters != 'USA''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
2,001
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show minimum, maximum, and average market value for all companies.
[query_database(**{'query': 'SELECT min(market_value) , max(market_value) , avg(market_value) 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 */
2,005
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List all headquarters and the number of companies in each headquarter.
[query_database(**{'query': 'SELECT headquarters , count(*) FROM company GROUP BY headquarters'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,009
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the main industry with highest total market value and its number of companies.
[query_database(**{'query': 'SELECT main_industry , count(*) FROM company GROUP BY main_industry ORDER BY sum(market_value) 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 */
2,014
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 gas station ids, locations, and manager names for the gas stations ordered by opening year?
[query_database(**{'query': 'SELECT station_id , LOCATION , manager_name FROM gas_station ORDER BY open_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 "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 */
2,018
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 location, how many gas stations are there in order?
[query_database(**{'query': 'SELECT LOCATION , count(*) FROM gas_station GROUP BY LOCATION ORDER BY count(*)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,021
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show all headquarters without a company in banking industry.
[query_database(**{'query': 'SELECT headquarters FROM company EXCEPT SELECT headquarters FROM company WHERE main_industry = 'Banking''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
2,025
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show company name and main industry without a gas station.
[query_database(**{'query': 'SELECT company , main_industry FROM company WHERE company_id NOT IN (SELECT company_id FROM station_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 */
2,029
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Show all locations where a gas station for company with market value greater than 100 is located.
[query_database(**{'query': 'SELECT T3.location 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.market_value > 100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 order all gas station locations by the opening year.
[query_database(**{'query': 'SELECT LOCATION FROM gas_station ORDER BY open_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 "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 */
2,036
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 rank, company, and market value of every comapny in the banking industry ordered by sales and profits?
[query_database(**{'query': 'SELECT rank , company , market_value FROM company WHERE main_industry = 'Banking' ORDER BY sales_billion , profits_billion'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,040
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Count the number of regions.
[query_database(**{'query': 'SELECT count(*) FROM region'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Count the number of different parties.
[query_database(**{'query': 'SELECT count(DISTINCT party_name) FROM 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 */
2,048
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Who are the ministers who took office after 1961 or before 1959?
[query_database(**{'query': 'SELECT minister FROM party WHERE took_office > 1961 OR took_office < 1959'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,052
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Who are the ministers and what parties do they belong to, listed descending by the times they took office?
[query_database(**{'query': 'SELECT minister , party_name FROM party ORDER BY took_office 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 "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 What are the names of members and their corresponding parties?
[query_database(**{'query': 'SELECT T1.member_name , T2.party_name FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 party names and their region names.
[query_database(**{'query': 'SELECT T1.party_name , T2.region_name FROM party AS T1 JOIN region AS T2 ON T1.region_id = T2.region_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 Which member names are shared among members in the party with the id 3 and the party with the id 1?
[query_database(**{'query': 'SELECT member_name FROM member WHERE party_id = 3 INTERSECT SELECT member_name FROM member WHERE party_id = 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 party events do we have?
[query_database(**{'query': 'SELECT count(*) FROM party_events'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 What are the names of members who are not in charge of any events?
[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 name of the member who is in charge of the most events.
[query_database(**{'query': 'SELECT T1.member_name FROM member AS T1 JOIN party_events AS T2 ON T1.member_id = T2.member_in_charge_id GROUP BY T2.member_in_charge_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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Count the number of Annual Meeting events that took place in the region of the United Kingdom.
[query_database(**{'query': 'SELECT count(*) FROM region AS t1 JOIN party AS t2 ON t1.region_id = t2.region_id JOIN party_events AS t3 ON t2.party_id = t3.party_id WHERE t1.region_name = "United Kingdom" AND t3.Event_Name = "Annaual Meeting"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What are the positions and teams of pilots?
[query_database(**{'query': 'SELECT POSITION , Team FROM pilot'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 "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 are the different nationalities of pilots? Show each nationality and the number of pilots of each nationality.
[query_database(**{'query': 'SELECT Nationality , COUNT(*) FROM pilot GROUP BY Nationality'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 "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 models of aircrafts they have flied with.
[query_database(**{'query': 'SELECT T3.Pilot_name , T2.Model 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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 "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 names of pilots that have more than one record.
[query_database(**{'query': 'SELECT T2.Pilot_name , COUNT(*) FROM pilot_record AS T1 JOIN pilot AS T2 ON T1.pilot_ID = T2.pilot_ID GROUP BY T2.Pilot_name 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 "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 */
2,100
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 document type codes do we have?
[query_database(**{'query': 'SELECT document_type_code FROM Ref_Document_Types;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,104
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are all role codes?
[query_database(**{'query': 'SELECT role_code FROM ROLES;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,108
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all document ids and receipt dates of documents.
[query_database(**{'query': 'SELECT document_id , receipt_date FROM Documents;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
2,112
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 documents have the status code done?
[query_database(**{'query': 'SELECT count(*) FROM Documents WHERE document_status_code = "done";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,115
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name of the shipping agent of the document with id 2?
[query_database(**{'query': 'SELECT Ref_Shipping_Agents.shipping_agent_name FROM Ref_Shipping_Agents JOIN Documents ON Documents.shipping_agent_code = Ref_Shipping_Agents.shipping_agent_code WHERE Documents.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 */
2,119
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 address was the document with id 4 mailed to?
[query_database(**{'query': 'SELECT Addresses.address_details FROM Addresses JOIN Documents_Mailed ON Documents_Mailed.mailed_to_address_id = Addresses.address_id WHERE document_id = 4;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
2,123
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 draft detail of the document with id 7?
[query_database(**{'query': 'SELECT draft_details FROM Document_Drafts WHERE document_id = 7;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,128
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 employees who have not showed up in any circulation history of documents. List the employee's name.
[query_database(**{'query': 'SELECT employee_name FROM Employees EXCEPT SELECT Employees.employee_name FROM Employees JOIN Circulation_History ON Circulation_History.employee_id = Employees.employee_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 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 */
2,132
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 find all dependent names who have a spouse relation with some employee.
[query_database(**{'query': 'SELECT Dependent_name FROM dependent WHERE relationship = 'Spouse''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,136
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Find the number of employees of each gender whose salary is lower than 50000.
[query_database(**{'query': 'SELECT count(*) , sex FROM employee WHERE salary < 50000 GROUP BY sex'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
2,140
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 have each participants attended? List the participant id, type and the number.
[query_database(**{'query': 'SELECT T1.Participant_ID , T1.Participant_Type_Code , count(*) FROM Participants AS T1 JOIN Participants_in_Events AS T2 ON T1.Participant_ID = T2.Participant_ID GROUP BY T1.Participant_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 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 */
2,144
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the service id and details for the events.
[query_database(**{'query': 'SELECT service_id , event_details FROM EVENTS'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 What is the id of the event with the most participants?
[query_database(**{'query': 'SELECT Event_ID FROM Participants_in_Events GROUP BY Event_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 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 did not have any participants?
[query_database(**{'query': 'SELECT count(*) FROM EVENTS WHERE event_id NOT IN (SELECT event_id FROM Participants_in_Events)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 and date of the most recent race?
[query_database(**{'query': 'SELECT name , date 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 Find the distinct names of all races held between 2014 and 2017?
[query_database(**{'query': 'SELECT DISTINCT name FROM races WHERE YEAR BETWEEN 2014 AND 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 Find all the distinct id and nationality of drivers who have had laptime more than 100000 milliseconds?
[query_database(**{'query': 'SELECT DISTINCT T1.driverid , T1.nationality FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid WHERE T2.milliseconds > 100000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and family name of the driver who has the longest laptime?
[query_database(**{'query': 'SELECT T1.driverid , T1.surname FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid ORDER BY T2.milliseconds 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 */
2,171
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 participated in the race Australian Grand Prix held in 2009?
[query_database(**{'query': 'SELECT count(*) FROM results AS T1 JOIN races AS T2 ON T1.raceid = T2.raceid WHERE T2.name = "Australian Grand Prix" AND 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 */
2,175
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Give me a list of names and years of races that had any driver whose forename is Lewis?
[query_database(**{'query': 'SELECT T2.name , T2.year FROM results AS T1 JOIN races AS T2 ON T1.raceid = T2.raceid JOIN drivers AS T3 ON T1.driverid = T3.driverid WHERE T3.forename = "Lewis"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,179
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 id and forenames of drivers who participated both the races with name Australian Grand Prix and the races with name Chinese Grand Prix?
[query_database(**{'query': 'SELECT T2.driverid , T3.forename 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" INTERSECT SELECT T2.driverid , T3.forename 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 */
2,183
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all the forenames of distinct drivers who was in position 1 as standing and won?
[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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,187
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 constructors for different nationalities?
[query_database(**{'query': 'SELECT count(*) , nationality FROM constructors GROUP BY nationality'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 that were held after 2017 and the circuits were in the country of Spain?
[query_database(**{'query': 'SELECT T1.name FROM races AS T1 JOIN circuits AS T2 ON T1.circuitid = T2.circuitid WHERE T2.country = "Spain" AND T1.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 */
2,195
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and the stop number of all drivers that have a shorter pit stop duration than some drivers in the race with id 841.
[query_database(**{'query': 'SELECT DISTINCT driverid , STOP FROM pitstops WHERE duration < (SELECT max(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 */
2,199
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 forenames of all distinct drivers in alphabetical order?
[query_database(**{'query': 'SELECT DISTINCT forename FROM drivers ORDER BY forename 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 "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 different names of all the races in reverse alphabetical 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 all races that occurred 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 */
2,210
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 last names and ids of all drivers who had 11 pit stops and participated in more than 5 races?
[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 */
2,214
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 circuits that are in the 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 What are the names of all the Japanese constructors that have 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 */
2,222
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 average fastest lap speed for races held after 2004, for each race, ordered by year?
[query_database(**{'query': 'SELECT avg(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 */
2,230
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 id of a driver who participated in at most 30 races, how many races did they participate in?
[query_database(**{'query': 'SELECT T1.driverid , 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(*) <= 30'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
2,234
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What is the number of technicians?
[query_database(**{'query': 'SELECT count(*) FROM technician'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What are the names of the technicians by ascending order of age?
[query_database(**{'query': 'SELECT Name FROM technician ORDER BY Age 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 "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 */
2,239
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the name of technicians whose team is not "NYY".
[query_database(**{'query': 'SELECT Name FROM technician WHERE Team != "NYY"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,243
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 What is the starting year of the oldest technicians?
[query_database(**{'query': 'SELECT Starting_Year FROM technician ORDER BY Age DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
2,247
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Please show the team that has the most number of technicians.
[query_database(**{'query': 'SELECT Team FROM technician GROUP BY Team 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 "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 */
2,251
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of technicians and series of machines they are assigned to repair.
[query_database(**{'query': 'SELECT T3.Name , T2.Machine_series FROM repair_assignment AS T1 JOIN machine AS T2 ON T1.machine_id = T2.machine_id JOIN technician AS T3 ON T1.technician_ID = T3.technician_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 "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 */