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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 "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 different teams of technicians and the number of technicians in each team.
[query_database(**{'query': 'SELECT Team , COUNT(*) FROM technician 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 "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 */
2,249
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */ ### Question Show the team that have at least two technicians.
[query_database(**{'query': 'SELECT Team FROM technician GROUP BY Team 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 "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 */
2,253
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 in ascending order of quality rank of the machine they are assigned.
[query_database(**{'query': 'SELECT T3.Name 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 ORDER BY T2.quality_rank'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
2,257
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the number of machines they are assigned to repair.
[query_database(**{'query': 'SELECT T2.Name , COUNT(*) FROM repair_assignment AS T1 JOIN technician AS T2 ON T1.technician_ID = T2.technician_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 "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 */
2,261
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */ ### Question Show the starting years shared by technicians from team "CLE" and "CWS".
[query_database(**{'query': 'SELECT Starting_Year FROM technician WHERE Team = "CLE" INTERSECT SELECT Starting_Year FROM technician WHERE Team = "CWS"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,265
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question List the companies of entrepreneurs in descending order of money requested.
[query_database(**{'query': 'SELECT Company FROM entrepreneur ORDER BY Money_Requested 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 "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question What is the average money requested by all entrepreneurs?
[query_database(**{'query': 'SELECT avg(Money_Requested) FROM entrepreneur'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question What are the names of entrepreneurs?
[query_database(**{'query': 'SELECT T2.Name FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_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 "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question What is the weight of the shortest person?
[query_database(**{'query': 'SELECT Weight FROM people ORDER BY Height ASC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question What is the total money requested by entrepreneurs with height more than 1.85?
[query_database(**{'query': 'SELECT sum(T1.Money_Requested) FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Height > 1.85'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question What are the weights of entrepreneurs in descending order of money requested?
[query_database(**{'query': 'SELECT T2.Weight FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Money_Requested 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 "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question What is the investor that has invested in the most number of entrepreneurs?
[query_database(**{'query': 'SELECT Investor FROM entrepreneur GROUP BY Investor 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 "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question List the names of entrepreneurs and their companies in descending order of money requested?
[query_database(**{'query': 'SELECT T2.Name , T1.Company FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Money_Requested'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question Show the investors shared by entrepreneurs that requested more than 140000 and entrepreneurs that requested less than 120000.
[query_database(**{'query': 'SELECT Investor FROM entrepreneur WHERE Money_Requested > 140000 INTERSECT SELECT Investor FROM entrepreneur WHERE Money_Requested < 120000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question Show the company of the tallest entrepreneur.
[query_database(**{'query': 'SELECT T1.Company FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Height 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 "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */ ### Question List the number of people injured by perpetrators in ascending order.
[query_database(**{'query': 'SELECT Injured FROM perpetrator ORDER BY Injured 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 "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */
2,309
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */ ### Question What are the names of perpetrators?
[query_database(**{'query': 'SELECT T1.Name FROM people AS T1 JOIN perpetrator AS T2 ON T1.People_ID = T2.People_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 "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */ ### Question What are the names of perpetrators in country "China" or "Japan"?
[query_database(**{'query': 'SELECT T1.Name FROM people AS T1 JOIN perpetrator AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Country = "China" OR T2.Country = "Japan"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */ ### Question What are the countries that have at least two perpetrators?
[query_database(**{'query': 'SELECT Country , COUNT(*) FROM perpetrator GROUP BY Country HAVING COUNT(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */ ### Question How many distinct locations of perpetrators are there?
[query_database(**{'query': 'SELECT count(DISTINCT LOCATION) FROM perpetrator'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question What campuses are located in the county of Los Angeles?
[query_database(**{'query': 'SELECT campus FROM campuses WHERE county = "Los Angeles"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question Find all the campuses opened in 1958.
[query_database(**{'query': 'SELECT campus FROM campuses WHERE YEAR = 1958'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question Which campus was opened between 1935 and 1939?
[query_database(**{'query': 'SELECT campus FROM campuses WHERE YEAR >= 1935 AND YEAR <= 1939'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question What is the campus fee of "San Jose State University" in year 1996?
[query_database(**{'query': 'SELECT campusfee FROM campuses AS T1 JOIN csu_fees AS T2 ON T1.id = t2.campus WHERE t1.campus = "San Jose State University" AND T2.year = 1996'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question Find the count of universities whose campus fee is greater than the average campus fee.
[query_database(**{'query': 'SELECT count(*) FROM csu_fees WHERE campusfee > (SELECT avg(campusfee) FROM csu_fees)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question Which university is in Los Angeles county and opened after 1950?
[query_database(**{'query': 'SELECT campus FROM campuses WHERE county = "Los Angeles" AND YEAR > 1950'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question In what year was the most degrees conferred?
[query_database(**{'query': 'SELECT YEAR FROM degrees GROUP BY YEAR ORDER BY sum(degrees) 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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question Which campus has the most faculties in year 2003?
[query_database(**{'query': 'SELECT T1.campus FROM campuses AS T1 JOIN faculty AS T2 ON T1.id = T2.campus WHERE T2.year = 2003 ORDER BY T2.faculty 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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question What is the average fee on a CSU campus in 2005?
[query_database(**{'query': 'SELECT avg(campusfee) FROM csu_fees WHERE YEAR = 2005'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question For each Orange county campus, report the number of degrees granted after 2000.
[query_database(**{'query': 'SELECT T1.campus , sum(T2.degrees) FROM campuses AS T1 JOIN degrees AS T2 ON T1.id = T2.campus WHERE T1.county = "Orange" AND T2.year >= 2000 GROUP BY T1.campus'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question What campus had more than 400 total enrollment but more than 200 full time enrollment in year 1956?
[query_database(**{'query': 'SELECT T1.campus FROM campuses AS t1 JOIN enrollments AS t2 ON t1.id = t2.campus WHERE t2.year = 1956 AND totalenrollment_ay > 400 AND FTE_AY > 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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question List the campuses in Los Angeles county.
[query_database(**{'query': 'SELECT campus FROM campuses WHERE county = "Los Angeles"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question What are the degrees conferred in "San Francisco State University" in 2001.
[query_database(**{'query': 'SELECT degrees FROM campuses AS T1 JOIN degrees AS T2 ON t1.id = t2.campus WHERE t1.campus = "San Francisco State University" AND t2.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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question What is the number of faculty lines in campus "Long Beach State University" in 2002?
[query_database(**{'query': 'SELECT faculty FROM faculty AS T1 JOIN campuses AS T2 ON T1.campus = T2.id WHERE T1.year = 2002 AND T2.campus = "Long Beach State University"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question List the campus that have between 600 and 1000 faculty lines in year 2004.
[query_database(**{'query': 'SELECT T1.campus FROM campuses AS t1 JOIN faculty AS t2 ON t1.id = t2.campus WHERE t2.faculty >= 600 AND t2.faculty <= 1000 AND T1.year = 2004'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question How many faculty lines are there in the university that conferred the least number of degrees in year 2001?
[query_database(**{'query': 'SELECT T2.faculty FROM campuses AS T1 JOIN faculty AS T2 ON T1.id = t2.campus JOIN degrees AS T3 ON T1.id = t3.campus AND t2.year = t3.year WHERE t2.year = 2001 ORDER BY t3.degrees 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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question What is the number of graduates in "San Francisco State University" in year 2004?
[query_database(**{'query': 'SELECT sum(t1.graduate) FROM discipline_enrollments AS t1 JOIN campuses AS t2 ON t1.campus = t2.id WHERE t1.year = 2004 AND t2.campus = "San Francisco State University"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question Find the campus fee of "San Jose State University" in year 2000.
[query_database(**{'query': 'SELECT t1.campusfee FROM csu_fees AS t1 JOIN campuses AS t2 ON t1.campus = t2.id WHERE t2.campus = "San Jose State University" AND t1.year = 2000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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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 "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question How many candidates are there?
[query_database(**{'query': 'SELECT count(*) FROM candidate'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question Return the top 3 greatest support rates.
[query_database(**{'query': 'SELECT support_rate FROM candidate ORDER BY support_rate DESC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question Please list support, consider, and oppose rates for each candidate in ascending order by unsure rate.
[query_database(**{'query': 'SELECT Support_rate , Consider_rate , Oppose_rate FROM candidate ORDER BY unsure_rate'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question List all people names in the order of their date of birth from old to young.
[query_database(**{'query': 'SELECT name FROM people ORDER BY date_of_birth'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question find the names of people who are taller than 200 or lower than 190.
[query_database(**{'query': 'SELECT name FROM people WHERE height > 200 OR height < 190'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question Find the name and gender of the candidate who got the highest support rate.
[query_database(**{'query': 'SELECT t1.name , t1.sex FROM people AS t1 JOIN candidate AS t2 ON t1.people_id = t2.people_id ORDER BY t2.support_rate 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 "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question which gender got the highest average uncertain ratio.
[query_database(**{'query': 'SELECT t1.sex FROM people AS t1 JOIN candidate AS t2 ON t1.people_id = t2.people_id GROUP BY t1.sex ORDER BY avg(t2.unsure_rate) 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 "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question Find the names of the candidates whose support percentage is lower than their oppose rate.
[query_database(**{'query': 'SELECT t1.name FROM people AS t1 JOIN candidate AS t2 ON t1.people_id = t2.people_id WHERE t2.support_rate < t2.oppose_rate'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question What are the names of all female candidates in alphabetical order (sex is F)?
[query_database(**{'query': 'SELECT t1.name FROM people AS t1 JOIN candidate AS t2 ON t1.people_id = t2.people_id WHERE t1.sex = 'F' ORDER BY t1.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question What is all the information about all people?
[query_database(**{'query': 'SELECT * FROM people'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the titles of all movies that James Cameron directed after 2000?
[query_database(**{'query': 'SELECT title FROM Movie WHERE director = 'James Cameron' AND YEAR > 2000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
2,441
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question Who directed Avatar?
[query_database(**{'query': 'SELECT director FROM Movie WHERE title = 'Avatar''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
2,445
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What is the id of the reviewer whose name includes the word "Mike"?
[query_database(**{'query': 'SELECT rID FROM Reviewer WHERE name LIKE "%Mike%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
2,449
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question How many movie ratings have more than 3 stars?
[query_database(**{'query': 'SELECT count(*) FROM Rating WHERE stars > 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
2,453
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question In what years did a movie receive a 4 or 5 star rating, and list the years from oldest to most recently?
[query_database(**{'query': 'SELECT DISTINCT YEAR FROM Movie AS T1 JOIN Rating AS T2 ON T1.mID = T2.mID WHERE T2.stars >= 4 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 Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What is the average number of stars that each reviewer awards for a movie?
[query_database(**{'query': 'SELECT T2.name , avg(T1.stars) FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID 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 Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the different names of all reviewers whose ratings do not have a date field?
[query_database(**{'query': 'SELECT DISTINCT name FROM Reviewer AS T1 JOIN Rating AS T2 ON T1.rID = T2.rID WHERE ratingDate = "null"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What is the title of the newest movie?
[query_database(**{'query': 'SELECT title FROM Movie WHERE YEAR = (SELECT max(YEAR) FROM Movie)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
2,469
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the names of all movies that were created after the most recent Steven Spielberg film?
[query_database(**{'query': 'SELECT title FROM Movie WHERE YEAR > (SELECT max(YEAR) FROM Movie WHERE director = "Steven Spielberg")'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question Return reviewer name, movie title, stars, and ratingDate. And sort the data first by reviewer name, then by movie title, and lastly by number of stars.
[query_database(**{'query': 'SELECT T3.name , T2.title , T1.stars , T1.ratingDate FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID JOIN Reviewer AS T3 ON T1.rID = T3.rID ORDER BY T3.name , T2.title , T1.stars'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question Find the names of all reviewers who rated Gone with the Wind.
[query_database(**{'query': 'SELECT DISTINCT T3.name FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID JOIN Reviewer AS T3 ON T1.rID = T3.rID WHERE T2.title = 'Gone with the Wind''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
2,480
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question For any rating where the name of reviewer is the same as the director of the movie, return the reviewer name, movie title, and number of stars.
[query_database(**{'query': 'SELECT DISTINCT T3.name , T2.title , T1.stars FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID JOIN Reviewer AS T3 ON T1.rID = T3.rID WHERE T2.director = T3.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 Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the titles of all movies that were not reviewed by Chris Jackson?
[query_database(**{'query': 'SELECT DISTINCT title FROM Movie EXCEPT SELECT T2.title FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID JOIN Reviewer AS T3 ON T1.rID = T3.rID WHERE T3.name = 'Chris Jackson''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question For directors who had more than one movie, return the titles and produced years of all movies directed by them.
[query_database(**{'query': 'SELECT T1.title , T1.year FROM Movie AS T1 JOIN Movie AS T2 ON T1.director = T2.director WHERE T1.title != T2.title'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the names of the directors who made exactly one movie excluding director NULL?
[query_database(**{'query': 'SELECT director FROM Movie WHERE director != "null" GROUP BY director 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 Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question Find the movies with the highest average rating. Return the movie titles and average rating.
[query_database(**{'query': 'SELECT T2.title , avg(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T1.mID ORDER BY avg(T1.stars) 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 Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the names and years of the movies that has the top 3 highest rating star?
[query_database(**{'query': 'SELECT T2.title , T2.year FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID ORDER BY T1.stars DESC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question Find the title and star rating of the movie that got the least rating star for each reviewer.
[query_database(**{'query': 'SELECT T2.title , T1.rID , T1.stars , min(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T1.rID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What is the name of the movie that is rated by most of times?
[query_database(**{'query': 'SELECT T2.title , T1.mID FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T1.mID 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 Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
2,512
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question Find the names of reviewers who had given higher than 3 star ratings.
[query_database(**{'query': 'SELECT T2.name FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID WHERE T1.stars > 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the ids of the movies that are not reviewed by Brittany Harris.
[query_database(**{'query': 'SELECT mID FROM Rating EXCEPT SELECT T1.mID FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID WHERE T2.name = "Brittany Harris"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question find the ids of reviewers who did not give 4 star.
[query_database(**{'query': 'SELECT rID FROM Rating EXCEPT SELECT rID FROM Rating WHERE stars = 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 Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
2,524
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are names of the movies that are either made after 2000 or reviewed by Brittany Harris?
[query_database(**{'query': 'SELECT DISTINCT T2.title FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID JOIN Reviewer AS T3 ON T1.rID = T3.rID WHERE T3.name = 'Brittany Harris' OR T2.year > 2000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the names of reviewers who had rated 3 star and 4 star?
[query_database(**{'query': 'SELECT T2.name FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID WHERE T1.stars = 3 INTERSECT SELECT T2.name FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID WHERE T1.stars = 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 Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question Count the number of countries.
[query_database(**{'query': 'SELECT count(*) FROM county_public_safety'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question List the distinct police forces of counties whose location is not on east side.
[query_database(**{'query': 'SELECT DISTINCT Police_force FROM county_public_safety WHERE LOCATION != "East"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question Show the crime rates of counties in ascending order of number of police officers.
[query_database(**{'query': 'SELECT Crime_rate FROM county_public_safety ORDER BY Police_officers 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 "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question What are the percentage of hispanics in cities with the black percentage higher than 10?
[query_database(**{'query': 'SELECT Hispanic FROM city WHERE Black > 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 "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question List the names of the city with the top 5 white percentages.
[query_database(**{'query': 'SELECT Name FROM city ORDER BY White DESC LIMIT 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 "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question Show white percentages of cities and the crime rates of counties they are in.
[query_database(**{'query': 'SELECT T1.White , T2.Crime_rate FROM city AS T1 JOIN county_public_safety AS T2 ON T1.County_ID = T2.County_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 "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question Show the number of cities in counties that have a population more than 20000.
[query_database(**{'query': 'SELECT count(*) FROM city WHERE county_ID IN (SELECT county_ID FROM county_public_safety WHERE population > 20000)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question Please show the police forces and the number of counties with each police force.
[query_database(**{'query': 'SELECT Police_force , COUNT(*) FROM county_public_safety GROUP BY Police_force'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question List the names of counties that do not have any cities.
[query_database(**{'query': 'SELECT Name FROM county_public_safety WHERE County_ID NOT IN (SELECT County_ID FROM city)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question Show the names of cities in counties that have a crime rate less than 100.
[query_database(**{'query': 'SELECT name FROM city WHERE county_id IN (SELECT county_id FROM county_public_safety WHERE Crime_rate < 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 "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question What are the names of modern rooms that have a base price lower than $160 and two beds.
[query_database(**{'query': 'SELECT roomName FROM Rooms WHERE basePrice < 160 AND beds = 2 AND decor = 'modern';'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Which room has the largest number of reservations?
[query_database(**{'query': 'SELECT T2.roomName FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId GROUP BY T1.Room 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 "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the number of times ROY SWEAZY has reserved a room.
[query_database(**{'query': 'SELECT count(*) FROM Reservations WHERE FirstName = "ROY" AND LastName = "SWEAZY";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the number of adults for the room reserved and checked in by CONRAD SELBIG on Oct 23, 2010.
[query_database(**{'query': 'SELECT Adults FROM Reservations WHERE CheckIn = "2010-10-23" AND FirstName = "CONRAD" AND LastName = "SELBIG";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the total number of king beds available.
[query_database(**{'query': 'SELECT sum(beds) FROM Rooms WHERE bedtype = 'King';'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question What are the room name and base price of the room with the lowest base price?
[query_database(**{'query': 'SELECT roomName , basePrice FROM Rooms ORDER BY basePrice ASC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question For each bed type, find the average base price of different bed type.
[query_database(**{'query': 'SELECT bedType , avg(basePrice) FROM Rooms GROUP BY bedType;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question What kind of decor has the least number of reservations?
[query_database(**{'query': 'SELECT T2.decor FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId GROUP BY T2.decor ORDER BY count(T2.decor) ASC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the first and last names of people who payed more than the rooms' base prices.
[query_database(**{'query': 'SELECT T1.firstname , T1.lastname FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId WHERE T1.Rate - T2.basePrice > 0'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the number of rooms with a king bed.
[query_database(**{'query': 'SELECT count(*) FROM Rooms WHERE bedType = "King";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question What is the name of the room that can accommodate the most people?
[query_database(**{'query': 'SELECT roomName FROM Rooms ORDER BY maxOccupancy 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 "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question What are the bed type and name of all the rooms with traditional decor?
[query_database(**{'query': 'SELECT roomName , bedType FROM Rooms WHERE decor = "traditional";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question What is the average minimum and price of the rooms for each different decor.
[query_database(**{'query': 'SELECT decor , avg(basePrice) , min(basePrice) FROM Rooms GROUP BY decor;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the number of rooms with price higher than 120 for different decor.
[query_database(**{'query': 'SELECT decor , count(*) FROM Rooms WHERE basePrice > 120 GROUP BY decor;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question How many different types of beds are there?
[query_database(**{'query': 'SELECT count(DISTINCT bedType) FROM Rooms;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the name of rooms whose price is higher than the average price.
[query_database(**{'query': 'SELECT roomName FROM Rooms WHERE basePrice > ( SELECT avg(basePrice) FROM Rooms );'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Return the name and number of reservations made for each of the rooms.
[query_database(**{'query': 'SELECT T2.roomName , count(*) , T1.Room FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId GROUP BY T1.Room'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question What are the names of rooms whose reservation frequency exceeds 60 times?
[query_database(**{'query': 'SELECT T2.roomName FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId GROUP BY T1.Room HAVING count(*) > 60'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */