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truongpdd
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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 names of technicians who are assigned to repair machines with value point more than 70.
[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 WHERE T2.value_points > 70'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */ ### Question List the names of technicians who have not been assigned to repair machines.
[query_database(**{'query': 'SELECT Name FROM technician WHERE technician_id NOT IN (SELECT technician_id FROM repair_assignment)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,263
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many entrepreneurs are there?
[query_database(**{'query': 'SELECT count(*) 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 List the companies and the investors of entrepreneurs.
[query_database(**{'query': 'SELECT Company , Investor 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 people in ascending order of weight?
[query_database(**{'query': 'SELECT Name FROM People ORDER BY Weight 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 "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 whose investor is not "Rachel Elnaugh"?
[query_database(**{'query': 'SELECT T2.Name FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Investor != "Rachel Elnaugh"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name of the entrepreneur with the greatest weight?
[query_database(**{'query': 'SELECT T2.Name FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Weight 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 What are the dates of birth of entrepreneurs with investor "Simon Woodroffe" or "Peter Jones"?
[query_database(**{'query': 'SELECT T2.Date_of_Birth FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Investor = "Simon Woodroffe" OR T1.Investor = "Peter Jones"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 investors of entrepreneurs and the corresponding number of entrepreneurs invested by each investor?
[query_database(**{'query': 'SELECT Investor , COUNT(*) FROM entrepreneur GROUP BY Investor'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 investors that have invested in at least two entrepreneurs?
[query_database(**{'query': 'SELECT Investor FROM entrepreneur GROUP BY Investor 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 "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 people that are not entrepreneurs.
[query_database(**{'query': 'SELECT Name FROM people WHERE People_ID NOT IN (SELECT People_ID 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 */
2,299
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many distinct companies are there?
[query_database(**{'query': 'SELECT count(DISTINCT Company) 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 "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 perpetrators are there?
[query_database(**{'query': 'SELECT count(*) 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 */
2,307
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 is the location of the perpetrator with the largest kills.
[query_database(**{'query': 'SELECT LOCATION FROM perpetrator ORDER BY Killed 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 "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 is the name of the perpetrator with the biggest weight.
[query_database(**{'query': 'SELECT T1.Name FROM people AS T1 JOIN perpetrator AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Weight 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 "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 of perpetrators? Show each country and the corresponding number of perpetrators there.
[query_database(**{'query': 'SELECT Country , COUNT(*) FROM perpetrator GROUP BY Country'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the names of people that are not perpetrators.
[query_database(**{'query': 'SELECT Name FROM people WHERE People_ID NOT IN (SELECT People_ID 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 "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 In which year did the most recent crime happen?
[query_database(**{'query': 'SELECT max(YEAR) 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 Chico?
[query_database(**{'query': 'SELECT campus FROM campuses WHERE LOCATION = "Chico"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 campuses opened before 1800?
[query_database(**{'query': 'SELECT campus FROM campuses WHERE YEAR < 1800'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 campuses are located in Northridge, Los Angeles or in San Francisco, San Francisco?
[query_database(**{'query': 'SELECT campus FROM campuses WHERE LOCATION = "Northridge" AND county = "Los Angeles" UNION SELECT campus FROM campuses WHERE LOCATION = "San Francisco" AND county = "San Francisco"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 for San Francisco State University in 1996?
[query_database(**{'query': 'SELECT campusfee FROM campuses AS T1 JOIN csu_fees AS T2 ON T1.id = t2.campus WHERE t1.campus = "San Francisco 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 How many universities have a campus fee greater than the average?
[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 What campus has the most degrees conferrred over its entire existence?
[query_database(**{'query': 'SELECT campus FROM degrees GROUP BY campus 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 What is the average fee for a CSU campus in the year of 1996?
[query_database(**{'query': 'SELECT avg(campusfee) FROM csu_fees WHERE 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 how many degrees were conferred between 1998 and 2002?
[query_database(**{'query': 'SELECT T1.campus , sum(T2.degrees) FROM campuses AS T1 JOIN degrees AS T2 ON T1.id = T2.campus WHERE T2.year >= 1998 AND T2.year <= 2002 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 are the names of the campus that have more faculties in 2002 than the maximum number in Orange county?
[query_database(**{'query': 'SELECT T1.campus FROM campuses AS T1 JOIN faculty AS T2 ON T1.id = T2.campus WHERE T2.year = 2002 AND faculty > (SELECT max(faculty) FROM campuses AS T1 JOIN faculty AS T2 ON T1.id = T2.campus WHERE T2.year = 2002 AND T1.county = "Orange")'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,365
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 campuses exist are in the county of LA?
[query_database(**{'query': 'SELECT count(*) 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 How many degrees were conferred at San Jose State University in 2000?
[query_database(**{'query': 'SELECT degrees FROM campuses AS T1 JOIN degrees AS T2 ON t1.id = t2.campus WHERE t1.campus = "San Jose State University" AND 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 "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 is there in total in the year of 2002?
[query_database(**{'query': 'SELECT sum(faculty) FROM faculty WHERE YEAR = 2002'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 at 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 What are the campuses that had between 600 and 1000 faculty members in 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 members are at the university that gave the least number of degrees in 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 How many people graduated from San Francisco State University in 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 What is the campus fee in the year 2000 for San Jose State University?
[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 Count the number of candidates.
[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 poll resource associated with the most candidates.
[query_database(**{'query': 'SELECT poll_source FROM candidate GROUP BY poll_source 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 "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 the id of the candidate with the lowest oppose rate?
[query_database(**{'query': 'SELECT Candidate_ID FROM candidate ORDER BY oppose_rate 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 Return the poll source corresponding to the candidate who has the oppose rate.
[query_database(**{'query': 'SELECT poll_source FROM candidate ORDER BY oppose_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 What are the average height and weight across males (sex is M)?
[query_database(**{'query': 'SELECT avg(height) , avg(weight) FROM people WHERE sex = 'M''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 average and minimum weights for people of each sex?
[query_database(**{'query': 'SELECT avg(weight) , min(weight) , sex FROM people GROUP BY sex'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 For each sex, what is the name and sex of the candidate with the oppose rate for their sex?
[query_database(**{'query': 'SELECT t1.name , t1.sex , min(oppose_rate) FROM people AS t1 JOIN candidate AS t2 ON t1.people_id = t2.people_id GROUP BY t1.sex'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 Give the names of people who did not participate in the candidate election.
[query_database(**{'query': 'SELECT name FROM people WHERE people_id NOT IN (SELECT people_id 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 Count the number of people of each sex who have a weight higher than 85.
[query_database(**{'query': 'SELECT count(*) , sex FROM people WHERE weight > 85 GROUP BY sex'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 female (sex is F) candidate names in the alphabetical order.
[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 List all info 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 is the name of the movie produced after 2000 and directed by James Cameron?
[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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 is the director of movie 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 */
2,444
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 has substring “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 */
2,448
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 total number of ratings that has 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 */
2,452
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all years that have a movie that received a rating of 4 or 5, and sort them in increasing order of year.
[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 */
2,456
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 rating star for each reviewer?
[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 Find the names of all reviewers who have ratings with a NULL value for the date.
[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 name of the most recent 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 names of movies whose created year is after all movies directed by Steven Spielberg?
[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 */
2,473
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 reviewer name, film title, movie rating, and rating date for every movie ordered by reviewer name, movie title, then finally rating?
[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 What are the names of all the different reviewers who rates 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 reviewer names, movie titles, and stars for every rating where the reviewer had the same name as the director?
[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 Find the titles of all movies 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 each director who directed more than one movie, what are the titles and dates of release for all those movies?
[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 all directors who made one movie?
[query_database(**{'query': 'SELECT director FROM Movie 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 For each director, how many reviews have they received?
[query_database(**{'query': 'SELECT count(*) , T1.director FROM Movie AS T1 JOIN Rating AS T2 ON T1.mID = T2.mID GROUP BY T1.director'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and average ratings for all movies that have the lowest 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) 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 For each director, what are the titles and ratings for all the movies they reviewed?
[query_database(**{'query': 'SELECT T2.title , T1.stars , T2.director , max(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE director != "null" GROUP BY director'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 each director, what is the title and score of their most poorly rated movie?
[query_database(**{'query': 'SELECT T2.title , T1.stars , T2.director , min(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T2.director'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 have between 3 and 5 stars?
[query_database(**{'query': 'SELECT T2.title FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T1.stars BETWEEN 3 AND 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 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 rating for each movie that has never been reviewed by Brittany Harris?
[query_database(**{'query': 'SELECT mID , avg(stars) FROM Rating WHERE mID NOT IN (SELECT T1.mID FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID WHERE T2.name = "Brittany Harris") GROUP BY mID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 each movie that received more than 3 reviews, what is the average rating?
[query_database(**{'query': 'SELECT mID , avg(stars) FROM Rating GROUP BY mID 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 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 didn't only give 4 star.
[query_database(**{'query': '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 */
2,526
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 before 1980 or directed by James Cameron?
[query_database(**{'query': 'SELECT title FROM Movie WHERE director = "James Cameron" OR YEAR < 1980'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 movies that get 3 star and 4 star?
[query_database(**{'query': 'SELECT T2.title FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T1.stars = 3 INTERSECT SELECT T2.title FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID 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 List the names of counties in descending order of population.
[query_database(**{'query': 'SELECT Name FROM county_public_safety ORDER BY Population 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 "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 minimum and maximum crime rate of counties?
[query_database(**{'query': 'SELECT min(Crime_rate) , max(Crime_rate) 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 What are the names of cities in ascending alphabetical order?
[query_database(**{'query': 'SELECT Name FROM city ORDER BY Name 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 List the name of the county with the largest population.
[query_database(**{'query': 'SELECT Name FROM county_public_safety ORDER BY Population 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 "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 names of cities and names of counties they are in.
[query_database(**{'query': 'SELECT T1.Name , T2.Name 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 What are the names of cities that are in the county with the most police officers?
[query_database(**{'query': 'SELECT name FROM city WHERE county_ID = (SELECT county_ID FROM county_public_safety ORDER BY Police_officers 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 "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 crime rates of counties that contain cities that have white percentages of over 90?
[query_database(**{'query': 'SELECT T2.Crime_rate FROM city AS T1 JOIN county_public_safety AS T2 ON T1.County_ID = T2.County_ID WHERE T1.White > 90'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 Which location has the most corresponding counties?
[query_database(**{'query': 'SELECT LOCATION FROM county_public_safety GROUP BY LOCATION 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 "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 Which police forces operate in both counties that are located in the East and in the West?
[query_database(**{'query': 'SELECT Police_force FROM county_public_safety WHERE LOCATION = "East" INTERSECT SELECT Police_force FROM county_public_safety WHERE LOCATION = "West"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 case burdens of counties, ordered descending by population?
[query_database(**{'query': 'SELECT Case_burden FROM county_public_safety ORDER BY Population 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 "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 room names and ids of all the rooms that cost more than 160 and can accommodate more than two people.
[query_database(**{'query': 'SELECT roomName , RoomId FROM Rooms WHERE basePrice > 160 AND maxOccupancy > 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 "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 kids staying in the rooms reserved by a person called ROY SWEAZ.
[query_database(**{'query': 'SELECT kids 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 Return the name, rate, check in and check out date for the room with the highest rate.
[query_database(**{'query': 'SELECT T2.roomName , T1.Rate , T1.CheckIn , T1.CheckOut FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId GROUP BY T1.Room ORDER BY T1.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 "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 number of kids for the room reserved and checked in by DAMIEN TRACHSEL on Sep 21, 2010.
[query_database(**{'query': 'SELECT Kids FROM Reservations WHERE CheckIn = "2010-09-21" AND FirstName = "DAMIEN" AND LastName = "TRACHSEL";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and decor of rooms with a king bed? Sort them by their price
[query_database(**{'query': 'SELECT roomName , decor FROM Rooms WHERE bedtype = 'King' ORDER BY basePrice;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 decor of the room named "Recluse and defiance".
[query_database(**{'query': 'SELECT decor FROM Rooms WHERE roomName = "Recluse and defiance";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 people in total can stay in the modern rooms of this inn?
[query_database(**{'query': 'SELECT sum(maxOccupancy) FROM Rooms WHERE 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 How many times the number of adults and kids staying in a room reached the maximum capacity of the room?
[query_database(**{'query': 'SELECT count(*) FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId WHERE T2.maxOccupancy = T1.Adults + T1.Kids;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 total number of rooms available in this inn?
[query_database(**{'query': 'SELECT count(*) 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 What are the number of rooms for each bed type?
[query_database(**{'query': 'SELECT bedType , count(*) 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 Which room has the highest base price?
[query_database(**{'query': 'SELECT RoomId , roomName FROM Rooms ORDER BY basePrice 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 How many rooms have king beds? Report the number for each decor type.
[query_database(**{'query': 'SELECT decor , count(*) FROM Rooms WHERE bedType = "King" 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 Sort all the rooms according to the price. Just report the room names.
[query_database(**{'query': 'SELECT roomName FROM Rooms ORDER BY basePrice;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 base price of rooms, for each 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 Find the number of distinct bed types available in this inn.
[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 What are the name of rooms that cost more than the average.
[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 For each room, find its name and the number of times reservations were made for it.
[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 Which rooms cost between 120 and 150? Give me the room names.
[query_database(**{'query': 'SELECT roomname FROM rooms WHERE baseprice BETWEEN 120 AND 150'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Customer_Master_Index ( master_customer_id INTEGER NOT NULL, cmi_details VARCHAR(255), PRIMARY KEY (master_customer_id) ) /* 1 example row: SELECT * FROM customer_master_index LIMIT 1; master_customer_id || cmi_details 1 ||Schmitt-Lang */ CREATE TABLE CMI_Cross_References ( cmi_cross_ref_id INTEGER NOT NULL, master_customer_id INTEGER NOT NULL, source_system_code CHAR(15) NOT NULL, PRIMARY KEY (cmi_cross_ref_id), FOREIGN KEY (master_customer_id) REFERENCES Customer_Master_Index (master_customer_id) ) /* 1 example row: SELECT * FROM cmi_cross_references LIMIT 1; cmi_cross_ref_id ||master_customer_id ||source_system_code 2 || 4 || Rent */ CREATE TABLE Council_Tax ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM council_tax LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 101 */ CREATE TABLE Business_Rates ( business_rates_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (business_rates_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM business_rates LIMIT 1; business_rates_id ||cmi_cross_ref_id 2 || 99 */ CREATE TABLE Benefits_Overpayments ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM benefits_overpayments LIMIT 1; council_tax_id ||cmi_cross_ref_id 3 || 65 */ CREATE TABLE Parking_Fines ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM parking_fines LIMIT 1; council_tax_id ||cmi_cross_ref_id 9 || 4 */ CREATE TABLE Rent_Arrears ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM rent_arrears LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 100 */ CREATE TABLE Electoral_Register ( electoral_register_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (electoral_register_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM electoral_register LIMIT 1; electoral_register_id ||cmi_cross_ref_id 2 || 83 */ ### Question What is the cmi cross reference id that is related to at least one council tax entry? List the cross reference id and source system code.
[query_database(**{'query': 'SELECT T1.cmi_cross_ref_id , T1.source_system_code FROM CMI_Cross_References AS T1 JOIN Council_Tax AS T2 ON T1.cmi_cross_ref_id = T2.cmi_cross_ref_id GROUP BY T1.cmi_cross_ref_id HAVING count(*) >= 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customer_Master_Index ( master_customer_id INTEGER NOT NULL, cmi_details VARCHAR(255), PRIMARY KEY (master_customer_id) ) /* 1 example row: SELECT * FROM customer_master_index LIMIT 1; master_customer_id || cmi_details 1 ||Schmitt-Lang */ CREATE TABLE CMI_Cross_References ( cmi_cross_ref_id INTEGER NOT NULL, master_customer_id INTEGER NOT NULL, source_system_code CHAR(15) NOT NULL, PRIMARY KEY (cmi_cross_ref_id), FOREIGN KEY (master_customer_id) REFERENCES Customer_Master_Index (master_customer_id) ) /* 1 example row: SELECT * FROM cmi_cross_references LIMIT 1; cmi_cross_ref_id ||master_customer_id ||source_system_code 2 || 4 || Rent */ CREATE TABLE Council_Tax ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM council_tax LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 101 */ CREATE TABLE Business_Rates ( business_rates_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (business_rates_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM business_rates LIMIT 1; business_rates_id ||cmi_cross_ref_id 2 || 99 */ CREATE TABLE Benefits_Overpayments ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM benefits_overpayments LIMIT 1; council_tax_id ||cmi_cross_ref_id 3 || 65 */ CREATE TABLE Parking_Fines ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM parking_fines LIMIT 1; council_tax_id ||cmi_cross_ref_id 9 || 4 */ CREATE TABLE Rent_Arrears ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM rent_arrears LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 100 */ CREATE TABLE Electoral_Register ( electoral_register_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (electoral_register_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM electoral_register LIMIT 1; electoral_register_id ||cmi_cross_ref_id 2 || 83 */