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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 "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question Show member names without any registered branch.
[query_database(**{'query': 'SELECT name FROM member WHERE member_id NOT IN (SELECT member_id FROM membership_register_branch)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
5,428
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question What is the name and open year for the branch with most number of memberships registered in 2016?
[query_database(**{'query': 'SELECT T2.name , T2.open_year FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id WHERE T1.register_year = 2016 GROUP BY T2.branch_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question Show all city with a branch opened in 2001 and a branch with more than 100 membership.
[query_database(**{'query': 'SELECT city FROM branch WHERE open_year = 2001 AND membership_amount > 100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question What is the sum of total pounds of purchase in year 2018 for all branches in London?
[query_database(**{'query': 'SELECT sum(total_pounds) FROM purchase AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id WHERE T2.city = 'London' AND T1.year = 2018'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
5,440
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */ ### Question Find the name of branches where have some members whose hometown is in Louisville, Kentucky and some in Hiram, Georgia.
[query_database(**{'query': 'SELECT T2.name FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id JOIN member AS T3 ON T1.member_id = T3.member_id WHERE T3.Hometown = 'Louisville , Kentucky' INTERSECT SELECT T2.name FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id JOIN member AS T3 ON T1.member_id = T3.member_id WHERE T3.Hometown = 'Hiram , Georgia''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "member" ( "Member_ID" int, "Card_Number" text, "Name" text, "Hometown" text, "Level" int, PRIMARY KEY ("Member_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID ||Card_Number || Name || Hometown ||Level 1 || LE99 ||Jeremy Jarmon ||Collierville, Tennessee || 6 */ CREATE TABLE "branch" ( "Branch_ID" int, "Name" text, "Open_year" text, "Address_road" text, "City" text, "membership_amount" text, PRIMARY KEY ("Branch_ID") ) /* 1 example row: SELECT * FROM branch LIMIT 1; Branch_ID || Name ||Open_year || Address_road || City ||membership_amount 1 ||Alexandre || 2001 ||Valleys Place ||London || 112 */ CREATE TABLE "membership_register_branch" ( "Member_ID" int, "Branch_ID" text, "Register_Year" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM membership_register_branch LIMIT 1; Member_ID ||Branch_ID ||Register_Year 1 || 1 || 2016 */ CREATE TABLE "purchase" ( "Member_ID" int, "Branch_ID" text, "Year" text, "Total_pounds" real, PRIMARY KEY ("Member_ID","Branch_ID","Year"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID"), FOREIGN KEY ("Branch_ID") REFERENCES "branch"("Branch_ID") ) /* 1 example row: SELECT * FROM purchase LIMIT 1; Member_ID ||Branch_ID ||Year ||Total_pounds 1 || 3 ||2018 || 2013.32 */
5,444
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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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the number of students in total.
[query_database(**{'query': 'SELECT count(*) FROM STUDENT'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,448
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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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the distinct number of president votes.
[query_database(**{'query': 'SELECT count(DISTINCT President_Vote) FROM VOTING_RECORD'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the last names of students with major 50.
[query_database(**{'query': 'SELECT LName FROM STUDENT WHERE Major = 50'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,457
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question List the major of each male student.
[query_database(**{'query': 'SELECT Major FROM STUDENT 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,461
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Tell me the ages of the oldest and youngest students studying major 600.
[query_database(**{'query': 'SELECT max(Age) , min(Age) FROM STUDENT WHERE Major = 600'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What are the distinct secretary votes in the fall election cycle?
[query_database(**{'query': 'SELECT DISTINCT Secretary_Vote FROM VOTING_RECORD WHERE ELECTION_CYCLE = "Fall"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Report the distinct registration date and the election cycle.
[query_database(**{'query': 'SELECT DISTINCT Registration_Date , Election_Cycle FROM VOTING_RECORD'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,472
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the distinct last names of the students who have class president votes.
[query_database(**{'query': 'SELECT DISTINCT T1.LName FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.CLASS_President_VOTE'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,476
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the distinct ages of students who have secretary votes in the fall election cycle.
[query_database(**{'query': 'SELECT DISTINCT T1.Age FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.Secretary_Vote WHERE T2.Election_Cycle = "Fall"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,480
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the distinct majors of students who have treasurer votes.
[query_database(**{'query': 'SELECT DISTINCT T1.Major FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.Treasurer_Vote'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,484
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the first and last name of all the students of age 18 who have vice president votes.
[query_database(**{'query': 'SELECT DISTINCT T1.Fname , T1.LName FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.VICE_President_VOTE WHERE T1.age = 18'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,488
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the number of students whose city code is NYC and who have class senator votes in the spring election cycle.
[query_database(**{'query': 'SELECT count(*) FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = Class_Senator_Vote WHERE T1.city_code = "NYC" AND T2.Election_Cycle = "Spring"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,492
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the average age of female (sex is F) students who have secretary votes in the spring election cycle.
[query_database(**{'query': 'SELECT avg(T1.Age) FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = SECRETARY_Vote WHERE T1.Sex = "F" AND T2.Election_Cycle = "Spring"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,496
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the distinct last names of all the students who have president votes and whose advisor is not 2192.
[query_database(**{'query': 'SELECT DISTINCT T1.LName FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = PRESIDENT_Vote EXCEPT SELECT DISTINCT LName FROM STUDENT WHERE Advisor = "2192"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,500
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question For each advisor, report the total number of students advised by him or her.
[query_database(**{'query': 'SELECT Advisor , count(*) FROM STUDENT GROUP BY Advisor'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,505
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question What are the majors only less than three students are studying?
[query_database(**{'query': 'SELECT Major FROM STUDENT GROUP BY Major HAVING COUNT(*) < 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,509
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Find the major that is studied by the largest number of students.
[query_database(**{'query': 'SELECT Major FROM STUDENT GROUP BY major 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
5,513
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */ ### Question Return the code of the city that has the most students.
[query_database(**{'query': 'SELECT city_code FROM STUDENT GROUP BY city_code 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Voting_record ( StuID INTEGER, Registration_Date VARCHAR(12), Election_Cycle VARCHAR(12), President_Vote INTEGER, Vice_President_Vote INTEGER, Secretary_Vote INTEGER, Treasurer_Vote INTEGER, Class_President_Vote INTEGER, Class_Senator_Vote INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Vice_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Secretary_Vote) REFERENCES Student(StuID), FOREIGN KEY(Treasurer_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_President_Vote) REFERENCES Student(StuID), FOREIGN KEY(Class_Senator_Vote) REFERENCES Student(StuID) ) /* 1 example row: SELECT * FROM voting_record LIMIT 1; StuID ||Registration_Date ||Election_Cycle ||President_Vote ||Vice_President_Vote ||Secretary_Vote ||Treasurer_Vote ||Class_President_Vote ||Class_Senator_Vote 1001 || 08/30/2015 || Spring || 1004 || 1007 || 1010 || 1035 || 1001 || 1028 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Count the number of products.
[query_database(**{'query': 'SELECT count(*) FROM products'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,521
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Count the number of characteristics.
[query_database(**{'query': 'SELECT count(*) FROM CHARACTERISTICS'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,525
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the descriptions for each color?
[query_database(**{'query': 'SELECT color_description FROM ref_colors'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Return the names of products in the category 'Spices'.
[query_database(**{'query': 'SELECT product_name FROM products WHERE product_category_code = "Spices"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,533
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Count the number of products in the category 'Seeds'.
[query_database(**{'query': 'SELECT count(*) FROM products WHERE product_category_code = "Seeds"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Return the category code and typical price of 'cumin'.
[query_database(**{'query': 'SELECT product_category_code , typical_buying_price FROM products WHERE product_name = "cumin"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,540
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What is the name of the product with the color description 'yellow'?
[query_database(**{'query': 'SELECT T1.product_name FROM products AS T1 JOIN ref_colors AS T2 ON T1.color_code = T2.color_code WHERE T2.color_description = 'yellow''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Give the color description for the product 'catnip'.
[query_database(**{'query': 'SELECT t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code WHERE t1.product_name = "catnip"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the product ids and color descriptions for products with two or more characteristics?
[query_database(**{'query': 'SELECT t1.product_id , t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code JOIN product_characteristics AS t3 ON t1.product_id = t3.product_id GROUP BY t1.product_id HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the name and typical buying and selling prices of the products that have color described as "yellow"?
[query_database(**{'query': 'SELECT t1.product_name , t1.typical_buying_price , t1.typical_selling_price FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code WHERE t2.color_description = "yellow"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,556
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question How many distinct characteristic names does the product "cumin" have?
[query_database(**{'query': 'SELECT count(DISTINCT t3.characteristic_name) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "sesame"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question List all the characteristic names and data types of product "cumin".
[query_database(**{'query': 'SELECT t3.characteristic_name , t3.characteristic_data_type FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "cumin"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question How many characteristics does the product named "laurel" have?
[query_database(**{'query': 'SELECT count(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "laurel"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Find the name of the products that have the color description "red" and have the characteristic name "fast".
[query_database(**{'query': 'SELECT product_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id JOIN ref_colors AS t4 ON t1.color_code = t4.color_code WHERE t4.color_description = "red" AND t3.characteristic_name = "fast"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question List the all the distinct names of the products with the characteristic name 'warm'.
[query_database(**{'query': 'SELECT DISTINCT t1.product_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t3.characteristic_name = "warm"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Count the products that have the color description "white" or have the characteristic name "hot".
[query_database(**{'query': 'SELECT count(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id JOIN ref_colors AS t4 ON t1.color_code = t4.color_code WHERE t4.color_description = "white" OR t3.characteristic_name = "hot"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Find the product category description of the product category with code "Spices".
[query_database(**{'query': 'SELECT product_category_description FROM ref_product_categories WHERE product_category_code = "Spices"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What is the unit of measurement of product named "cumin"?
[query_database(**{'query': 'SELECT t2.unit_of_measure FROM products AS t1 JOIN ref_product_categories AS t2 ON t1.product_category_code = t2.product_category_code WHERE t1.product_name = "cumin"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question Find the product names that are colored 'white' but do not have unit of measurement "Handful".
[query_database(**{'query': 'SELECT t1.product_name FROM products AS t1 JOIN ref_product_categories AS t2 ON t1.product_category_code = t2.product_category_code JOIN ref_colors AS t3 ON t1.color_code = t3.color_code WHERE t3.color_description = "white" AND t2.unit_of_measure != "Handful"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What is the description of the color used by least products?
[query_database(**{'query': 'SELECT t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code GROUP BY t2.color_description ORDER BY count(*) ASC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question What are the names, details and data types of the characteristics which are never used by any product?
[query_database(**{'query': 'SELECT characteristic_name , other_characteristic_details , characteristic_data_type FROM CHARACTERISTICS EXCEPT SELECT t1.characteristic_name , t1.other_characteristic_details , t1.characteristic_data_type FROM CHARACTERISTICS AS t1 JOIN product_characteristics AS t2 ON t1.characteristic_id = t2.characteristic_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */ ### Question How many colors are never used by any product?
[query_database(**{'query': 'SELECT count(*) FROM Ref_colors WHERE color_code NOT IN ( SELECT color_code FROM products )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Ref_Characteristic_Types` ( `characteristic_type_code` VARCHAR(15) PRIMARY KEY, `characteristic_type_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_characteristic_types LIMIT 1; characteristic_type_code ||characteristic_type_description Grade || Grade */ CREATE TABLE `Ref_Colors` ( `color_code` VARCHAR(15) PRIMARY KEY, `color_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM ref_colors LIMIT 1; color_code ||color_description 9 || red */ CREATE TABLE `Ref_Product_Categories` ( `product_category_code` VARCHAR(15) PRIMARY KEY, `product_category_description` VARCHAR(80), `unit_of_measure` VARCHAR(20) ) /* 1 example row: SELECT * FROM ref_product_categories LIMIT 1; product_category_code ||product_category_description || unit_of_measure Herbs || Herbs ||Handful */ CREATE TABLE `Characteristics` ( `characteristic_id` INTEGER PRIMARY KEY, `characteristic_type_code` VARCHAR(15) NOT NULL, `characteristic_data_type` VARCHAR(10), `characteristic_name` VARCHAR(80), `other_characteristic_details` VARCHAR(255), FOREIGN KEY (`characteristic_type_code` ) REFERENCES `Ref_Characteristic_Types`(`characteristic_type_code` ) ) /* 1 example row: SELECT * FROM characteristics LIMIT 1; characteristic_id ||characteristic_type_code ||characteristic_data_type ||characteristic_name ||other_characteristic_details 1 || Grade || numquam || slow || None */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `color_code` VARCHAR(15) NOT NULL, `product_category_code` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80), `typical_buying_price` VARCHAR(20), `typical_selling_price` VARCHAR(20), `product_description` VARCHAR(255), `other_product_details` VARCHAR(255), FOREIGN KEY (`product_category_code` ) REFERENCES `Ref_Product_Categories`(`product_category_code` ),FOREIGN KEY (`color_code` ) REFERENCES `Ref_Colors`(`color_code` ) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||color_code ||product_category_code ||product_name ||typical_buying_price ||typical_selling_price ||product_description ||other_product_details 1 || 4 || Spices || cumin || || 2878.3 || et || None */ CREATE TABLE `Product_Characteristics` ( `product_id` INTEGER NOT NULL, `characteristic_id` INTEGER NOT NULL, `product_characteristic_value` VARCHAR(50), FOREIGN KEY (`characteristic_id` ) REFERENCES `Characteristics`(`characteristic_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_characteristics LIMIT 1; product_id ||characteristic_id ||product_characteristic_value 13 || 13 || low */
5,604
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question What is the name of the event that happened in the most recent year?
[query_database(**{'query': 'SELECT name FROM event ORDER BY YEAR 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */
5,609
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question Which country has at most 3 stadiums listed?
[query_database(**{'query': 'SELECT country FROM stadium GROUP BY country HAVING count(*) <= 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question How many stadiums does each country have?
[query_database(**{'query': 'SELECT country , count(*) FROM stadium 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question How many different countries are all the swimmers from?
[query_database(**{'query': 'SELECT count(DISTINCT nationality) FROM swimmer'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */
5,620
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question What is the name of the stadium which held the most events?
[query_database(**{'query': 'SELECT t1.name FROM stadium AS t1 JOIN event AS t2 ON t1.id = t2.stadium_id GROUP BY t2.stadium_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question Find the name of the swimmer who has at least 2 records.
[query_database(**{'query': 'SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id GROUP BY t2.swimmer_id HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question Find the names of stadiums that some Australian swimmers have been to.
[query_database(**{'query': 'SELECT t4.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id JOIN event AS t3 ON t2.event_id = t3.id JOIN stadium AS t4 ON t4.id = t3.stadium_id WHERE t1.nationality = 'Australia''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 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 "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */ ### Question What is the average capacity of the stadiums that were opened in year 2005?
[query_database(**{'query': 'SELECT avg(capacity) FROM stadium WHERE opening_year = 2005'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "swimmer" ( "ID" int, "name" text, "Nationality" text, "meter_100" real, "meter_200" text, "meter_300" text, "meter_400" text, "meter_500" text, "meter_600" text, "meter_700" text, "Time" text, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM swimmer LIMIT 1; ID || name ||Nationality ||meter_100 ||meter_200 ||meter_300 ||meter_400 ||meter_500 ||meter_600 ||meter_700 || Time 7 ||Przemysław Stańczyk || Poland || 57.31 || 1:57.10 || 2:56.02 || 3:55.36 || 4:54.21 || 5:52.59 || 6:50.91 ||7:47.91 */ CREATE TABLE "stadium" ( "ID" int, "name" text, "Capacity" int, "City" text, "Country" text, "Opening_year" int, PRIMARY KEY ("ID") ) /* 1 example row: SELECT * FROM stadium LIMIT 1; ID || name ||Capacity || City ||Country ||Opening_year 1 ||Nou Mestalla || 75000 ||Valencia || Spain || 2004 */ CREATE TABLE "event" ( "ID" int, "Name" text, "Stadium_ID" int, "Year" text, PRIMARY KEY ("ID"), FOREIGN KEY (`Stadium_ID`) REFERENCES `stadium`(`ID`) ) /* 1 example row: SELECT * FROM event LIMIT 1; ID ||Name ||Stadium_ID ||Year 1 ||FINA || 1 ||2016 */ CREATE TABLE "record" ( "ID" int, "Result" text, "Swimmer_ID" int, "Event_ID" int, PRIMARY KEY ("Swimmer_ID","Event_ID"), FOREIGN KEY (`Event_ID`) REFERENCES `event`(`ID`), FOREIGN KEY (`Swimmer_ID`) REFERENCES `swimmer`(`ID`) ) /* 1 example row: SELECT * FROM record LIMIT 1; ID ||Result ||Swimmer_ID ||Event_ID 1 || NC || 1 || 1 */
5,635
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question What is the maximum level of managers in countries that are not "Australia"?
[query_database(**{'query': 'SELECT max(LEVEL) FROM manager WHERE Country != "Australia "'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question What is the name of the oldest manager?
[query_database(**{'query': 'SELECT Name FROM manager ORDER BY Age DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
5,643
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question Show the id and builder of the railway that are associated with the most trains.
[query_database(**{'query': 'SELECT T2.Railway_ID , T1.Builder FROM railway AS T1 JOIN train AS T2 ON T1.Railway_ID = T2.Railway_ID GROUP BY T2.Railway_ID ORDER BY COUNT(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question Show the locations that have more than one railways.
[query_database(**{'query': 'SELECT LOCATION FROM railway GROUP BY LOCATION HAVING COUNT(*) > 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */ ### Question Show the working years of managers in descending order of their level.
[query_database(**{'query': 'SELECT Working_year_starts FROM manager ORDER BY LEVEL 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 "railway" ( "Railway_ID" int, "Railway" text, "Builder" text, "Built" text, "Wheels" text, "Location" text, "ObjectNumber" text, PRIMARY KEY ("Railway_ID") ) /* 1 example row: SELECT * FROM railway LIMIT 1; Railway_ID ||Railway || Builder ||Built ||Wheels ||Location ||ObjectNumber 1 || SECR ||SECR Ashford || 1901 || 4-4-0 || York || 1975-7006 */ CREATE TABLE "train" ( "Train_ID" int, "Train_Num" text, "Name" text, "From" text, "Arrival" text, "Railway_ID" int, PRIMARY KEY ("Train_ID"), FOREIGN KEY ("Railway_ID") REFERENCES `railway`("Railway_ID") ) /* 1 example row: SELECT * FROM train LIMIT 1; Train_ID ||Train_Num || Name || From ||Arrival ||Railway_ID 1 || 51195 ||Wardha-Ballarshah Pass ||Wardha || 08:54 || 1 */ CREATE TABLE "manager" ( "Manager_ID" int, "Name" text, "Country" text, "Working_year_starts" text, "Age" int, "Level" int, PRIMARY KEY ("Manager_ID") ) /* 1 example row: SELECT * FROM manager LIMIT 1; Manager_ID || Name || Country ||Working_year_starts ||Age ||Level 1 ||Ben Curtis ||United States || 2003 || 45 || 5 */ CREATE TABLE "railway_manage" ( "Railway_ID" int, "Manager_ID" int, "From_Year" text, PRIMARY KEY ("Railway_ID","Manager_ID"), FOREIGN KEY ("Manager_ID") REFERENCES "manager"("Manager_ID"), FOREIGN KEY ("Railway_ID") REFERENCES "railway"("Railway_ID") ) /* 1 example row: SELECT * FROM railway_manage LIMIT 1; Railway_ID ||Manager_ID ||From_Year 8 || 1 || 2010 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */ ### Question Show each state and the number of addresses in each state.
[query_database(**{'query': 'SELECT state_province_county , count(*) FROM addresses GROUP BY state_province_county'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */
5,659
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */ ### Question Show the names of customers who have both an order in completed status and an order in part status.
[query_database(**{'query': 'SELECT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = 'Completed' INTERSECT SELECT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = 'Part''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */
5,664
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */ ### Question Show the customer name, customer address city, date from, and date to for each customer address history.
[query_database(**{'query': 'SELECT T2.customer_name , T3.city , T1.date_from , T1.date_to FROM customer_address_history AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id JOIN addresses AS T3 ON T1.address_id = T3.address_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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `line_1_number_building` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || line_1_number_building || city ||zip_postcode ||state_province_county ||country 1 ||4315 Kerluke Canyon Apt. 800 ||Hertafurt || 740 || Nevada || USA */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(15), `product_name` VARCHAR(80), `product_price` DOUBLE NULL ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name || product_price 1 || Hardware || Apple ||54753982.574522 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(15), `customer_number` VARCHAR(20), `customer_name` VARCHAR(80), `customer_address` VARCHAR(255), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method_code ||customer_number ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 456 || Kayley ||636 Chanelle Isle Apt. 846 ||+87(9)5279161988 ||[email protected] */ CREATE TABLE `Contacts` ( `contact_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(50), `contact_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM contacts LIMIT 1; contact_id ||customer_id ||gender ||first_name ||last_name || contact_phone 1 || 4 || male || Cierra || Collins ||+73(2)0854391820 */ CREATE TABLE `Customer_Address_History` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_address_history LIMIT 1; customer_id ||address_id || date_from || date_to 12 || 7 ||2015-07-23 14:37:18 ||2018-03-07 12:04:20 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_date` DATETIME NOT NULL, `order_status_code` VARCHAR(15), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id || order_date ||order_status_code 1 || 2 ||2009-07-19 13:40:49 || Completed */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER NOT NULL , `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `order_quantity` VARCHAR(80), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id ||order_quantity 1 || 9 || 15 || 3 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the name of dorms only for female (F gender).
[query_database(**{'query': 'SELECT dorm_name FROM dorm WHERE gender = 'F''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,671
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What are the names of all the dorms that can accomdate more than 300 students?
[query_database(**{'query': 'SELECT dorm_name FROM dorm WHERE student_capacity > 300'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,675
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What are the first names of all students who are older than 20?
[query_database(**{'query': 'SELECT fname FROM student WHERE age > 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,679
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question How many dorms are in the database?
[query_database(**{'query': 'SELECT count(*) FROM dorm'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,683
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What is the total student capacity of all dorms?
[query_database(**{'query': 'SELECT sum(student_capacity) FROM dorm'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,687
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What is the average age for each city and what are those cities?
[query_database(**{'query': 'SELECT avg(age) , city_code FROM student GROUP BY city_code'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,691
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question How many dorms have amenities?
[query_database(**{'query': 'SELECT count(DISTINCT dormid) FROM has_amenity'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,696
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the capacity and gender type of the dorm whose name has substring ‘Donor’.
[query_database(**{'query': 'SELECT student_capacity , gender FROM dorm WHERE dorm_name LIKE '%Donor%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What are the names and types of the dorms that have a capacity greater than 300 or less than 100?
[query_database(**{'query': 'SELECT dorm_name , gender FROM dorm WHERE student_capacity > 300 OR student_capacity < 100'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,704
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the name of dorms which have TV Lounge but no Study Room as amenity.
[query_database(**{'query': 'SELECT T1.dorm_name FROM dorm AS T1 JOIN has_amenity AS T2 ON T1.dormid = T2.dormid JOIN dorm_amenity AS T3 ON T2.amenid = T3.amenid WHERE T3.amenity_name = 'TV Lounge' EXCEPT SELECT T1.dorm_name FROM dorm AS T1 JOIN has_amenity AS T2 ON T1.dormid = T2.dormid JOIN dorm_amenity AS T3 ON T2.amenid = T3.amenid WHERE T3.amenity_name = 'Study 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,707
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What is the last name of every student who is either female or living in a city with the code BAL or male and under 20?
[query_database(**{'query': 'SELECT lname FROM student WHERE sex = 'F' AND city_code = 'BAL' UNION SELECT lname FROM student WHERE sex = 'M' AND age < 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,712
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the code of city where most of students are living in.
[query_database(**{'query': 'SELECT city_code FROM student GROUP BY city_code 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question List the first and last name of students who are not living in the city with code HKG, and sorted the results by their ages.
[query_database(**{'query': 'SELECT fname , lname FROM student WHERE city_code != 'HKG' ORDER BY age'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,722
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the average and oldest age for students with different sex.
[query_database(**{'query': 'SELECT avg(age) , max(age) , sex FROM student 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,726
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the number and average age of students living in each city.
[query_database(**{'query': 'SELECT count(*) , avg(age) , city_code FROM student GROUP BY city_code'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,730
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the number of students for the cities where have more than one student.
[query_database(**{'query': 'SELECT count(*) , city_code FROM student GROUP BY city_code 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,734
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the number of students whose age is older than the average age for each gender.
[query_database(**{'query': 'SELECT count(*) , sex FROM student WHERE age > (SELECT avg(age) FROM student) 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,738
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the number of amenities for each of the dorms that can accommodate more than 100 students.
[query_database(**{'query': 'SELECT count(*) , T1.dormid FROM dorm AS T1 JOIN has_amenity AS T2 ON T1.dormid = T2.dormid WHERE T1.student_capacity > 100 GROUP BY T1.dormid'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,742
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the first name of students who are living in the Smith Hall.
[query_database(**{'query': 'SELECT T1.fname FROM student AS T1 JOIN lives_in AS T2 ON T1.stuid = T2.stuid JOIN dorm AS T3 ON T3.dormid = T2.dormid WHERE T3.dorm_name = 'Smith Hall''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,746
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the total number of students living in the male dorm (with gender M).
[query_database(**{'query': 'SELECT count(*) FROM student AS T1 JOIN lives_in AS T2 ON T1.stuid = T2.stuid JOIN dorm AS T3 ON T3.dormid = T2.dormid WHERE T3.gender = '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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,750
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the name of amenities Smith Hall dorm have.
[query_database(**{'query': 'SELECT T3.amenity_name FROM dorm AS T1 JOIN has_amenity AS T2 ON T1.dormid = T2.dormid JOIN dorm_amenity AS T3 ON T2.amenid = T3.amenid WHERE T1.dorm_name = 'Smith Hall''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,754
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the name of amenity that is most common in all dorms.
[query_database(**{'query': 'SELECT T1.amenity_name FROM dorm_amenity AS T1 JOIN has_amenity AS T2 ON T1.amenid = T2.amenid GROUP BY T2.amenid 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,758
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the name and capacity of the dorm with least number of amenities.
[query_database(**{'query': 'SELECT T1.dorm_name , T1.student_capacity FROM dorm AS T1 JOIN has_amenity AS T2 ON T1.dormid = T2.dormid JOIN dorm_amenity AS T3 ON T2.amenid = T3.amenid GROUP BY T2.dormid ORDER BY count(*) 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,762
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question Find the first and last name of students who are living in the dorms that have amenity TV Lounge.
[query_database(**{'query': 'SELECT T1.fname , T1.lname FROM student AS T1 JOIN lives_in AS T2 ON T1.stuid = T2.stuid WHERE T2.dormid IN (SELECT T3.dormid FROM has_amenity AS T3 JOIN dorm_amenity AS T4 ON T3.amenid = T4.amenid WHERE T4.amenity_name = 'TV Lounge')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
5,765
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */ ### Question What is the first name and age of every student who lives in a dorm with a TV Lounge?
[query_database(**{'query': 'SELECT T1.fname , T1.age FROM student AS T1 JOIN lives_in AS T2 ON T1.stuid = T2.stuid WHERE T2.dormid NOT IN (SELECT T3.dormid FROM has_amenity AS T3 JOIN dorm_amenity AS T4 ON T3.amenid = T4.amenid WHERE T4.amenity_name = 'TV Lounge')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) /* 1 example row: SELECT * FROM dorm LIMIT 1; dormid || dorm_name ||student_capacity ||gender 100 ||Smith Hall || 85 || X */ CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) /* 1 example row: SELECT * FROM dorm_amenity LIMIT 1; amenid ||amenity_name 900 || TV Lounge */ CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER, FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid), FOREIGN KEY (amenid) REFERENCES `Dorm_amenity`(amenid) ) /* 1 example row: SELECT * FROM has_amenity LIMIT 1; dormid ||amenid 109 || 900 */ CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER, FOREIGN KEY (stuid) REFERENCES `Student`(StuID), FOREIGN KEY (dormid) REFERENCES `Dorm`(dormid) ) /* 1 example row: SELECT * FROM lives_in LIMIT 1; stuid ||dormid ||room_number 1001 || 109 || 105 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Count the number of customers.
[query_database(**{'query': 'SELECT count(*) FROM customers'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question List the name of all products along with the number of complaints that they have received.
[query_database(**{'query': 'SELECT t1.product_name , count(*) FROM products AS t1 JOIN complaints AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_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 `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Which products has been complained by the customer who has filed least amount of complaints?
[query_database(**{'query': 'SELECT DISTINCT t1.product_name FROM products AS t1 JOIN complaints AS t2 ON t1.product_id = t2.product_id JOIN customers AS t3 GROUP BY t3.customer_id ORDER BY count(*) 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 `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
5,782
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Find the email and phone number of the customers who have never filed a complaint before.
[query_database(**{'query': 'SELECT email_address , phone_number FROM customers WHERE customer_id NOT IN (SELECT customer_id FROM complaints)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question What are the phone numbers of all customers and all staff members?
[query_database(**{'query': 'SELECT phone_number FROM customers UNION SELECT phone_number FROM staff'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
5,789
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question What is the name and category code of the product with the highest price?
[query_database(**{'query': 'SELECT product_name , product_category_code FROM products ORDER BY product_price 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 `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Return the average price of products that have each category code.
[query_database(**{'query': 'SELECT avg(product_price) , product_category_code FROM products GROUP BY product_category_code'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
5,797
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Return complaint status codes have more than 3 corresponding complaints?
[query_database(**{'query': 'SELECT complaint_status_code FROM complaints GROUP BY complaint_status_code HAVING count(*) > 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Count the number of customers that have the customer type that is most common.
[query_database(**{'query': 'SELECT count(*) FROM customers GROUP BY customer_type_code 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 `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
5,805
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Count the number of different complaint type codes.
[query_database(**{'query': 'SELECT count(DISTINCT complaint_type_code) FROM complaints'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Of complaints with the type code "Product Failure", how many had each different status code?
[query_database(**{'query': 'SELECT complaint_status_code , count(*) FROM complaints WHERE complaint_type_code = "Product Failure" GROUP BY complaint_status_code'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
5,813
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */ ### Question Give the state that has the most customers.
[query_database(**{'query': 'SELECT state FROM customers GROUP BY state ORDER BY count(*) 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 `Staff` ( `staff_id` INTEGER PRIMARY KEY, `gender` VARCHAR(1), `first_name` VARCHAR(80), `last_name` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||gender ||first_name ||last_name || email_address || phone_number 114 || 0 || Ward || Boehm ||[email protected] ||(379)551-0838x146 */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `customer_type_code` VARCHAR(20) NOT NULL, `address_line_1` VARCHAR(80), `address_line_2` VARCHAR(80), `town_city` VARCHAR(80), `state` VARCHAR(80), `email_address` VARCHAR(255), `phone_number` VARCHAR(80) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||customer_type_code || address_line_1 ||address_line_2 || town_city || state || email_address ||phone_number 113 ||Good Credit Rating ||144 Legros Landing || Apt. 551 ||Maryamport ||Kansas ||[email protected] || 06963347450 */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `parent_product_id` INTEGER, `product_category_code` VARCHAR(20) NOT NULL, `date_product_first_available` DATETIME, `date_product_discontinued` DATETIME, `product_name` VARCHAR(80), `product_description` VARCHAR(255), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||parent_product_id ||product_category_code ||date_product_first_available ||date_product_discontinued ||product_name ||product_description ||product_price 117 || 4 || Food || 1988-09-29 17:54:50 || 1987-12-20 13:46:16 || Chocolate || Handmade chocolate || 2.88 */ CREATE TABLE `Complaints` ( `complaint_id` INTEGER NOT NULL , `product_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `complaint_outcome_code` VARCHAR(20) NOT NULL, `complaint_status_code` VARCHAR(20) NOT NULL, `complaint_type_code` VARCHAR(20) NOT NULL, `date_complaint_raised` DATETIME, `date_complaint_closed` DATETIME, `staff_id` INTEGER NOT NULL , FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM complaints LIMIT 1; complaint_id ||product_id ||customer_id ||complaint_outcome_code ||complaint_status_code ||complaint_type_code ||date_complaint_raised ||date_complaint_closed ||staff_id 1 || 117 || 120 || OK || Closed || Product Failure || 2002-07-18 10:59:35 || 1976-04-19 11:03:06 || 114 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */ ### Question Find the author for each submission and list them in ascending order of submission score.
[query_database(**{'query': 'SELECT Author FROM submission ORDER BY Scores 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 "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */ ### Question Which authors with submissions are from college "Florida" or "Temple"?
[query_database(**{'query': 'SELECT Author FROM submission WHERE College = "Florida" OR College = "Temple"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "workshop" ( "Workshop_ID" int, "Date" text, "Venue" text, "Name" text, PRIMARY KEY ("Workshop_ID") ) /* 1 example row: SELECT * FROM workshop LIMIT 1; Workshop_ID || Date || Venue || Name 1 ||August 18, 2007 ||London UK ||ABC 2007 */ CREATE TABLE "submission" ( "Submission_ID" int, "Scores" real, "Author" text, "College" text, PRIMARY KEY ("Submission_ID") ) /* 1 example row: SELECT * FROM submission LIMIT 1; Submission_ID ||Scores || Author || College 1 || 72.0 ||Steve Niehaus ||Notre Dame */ CREATE TABLE "Acceptance" ( "Submission_ID" int, "Workshop_ID" int, "Result" text, PRIMARY KEY ("Submission_ID","Workshop_ID"), FOREIGN KEY ("Submission_ID") REFERENCES `submission`("Submission_ID"), FOREIGN KEY ("Workshop_ID") REFERENCES `workshop`("Workshop_ID") ) /* 1 example row: SELECT * FROM acceptance LIMIT 1; Submission_ID ||Workshop_ID || Result 2 || 5 ||Accepted */