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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 Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What are the names of all females who are friends with Zach?
[query_database(**{'query': 'SELECT T1.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend = 'Zach' AND T1.gender = 'female''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question Find the male friend of Alice whose job is a doctor?
[query_database(**{'query': 'SELECT T2.friend FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T2.name = 'Alice' AND T1.gender = 'male' AND T1.job = 'doctor''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,463
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What are the names of all friends who are from New York?
[query_database(**{'query': 'SELECT T2.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T1.city = 'new york city''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,466
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question Who has friends that are older than the average age? Print their friends and their ages as well
[query_database(**{'query': 'SELECT DISTINCT T2.name , T2.friend , T1.age FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T1.age > (SELECT avg(age) FROM person)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,470
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What is the age of the friend of Zach with longest year relationship?
[query_database(**{'query': 'SELECT T1.age FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T2.name = 'Zach' AND T2.year = (SELECT max(YEAR) FROM PersonFriend WHERE name = 'Zach')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,473
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What are the names of all people who are friends with Alice for the shortest amount of time?
[query_database(**{'query': 'SELECT name FROM PersonFriend WHERE friend = 'Alice' AND YEAR = (SELECT min(YEAR) FROM PersonFriend WHERE friend = 'Alice')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,477
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What are the names of all people who do not have friends?
[query_database(**{'query': 'SELECT name FROM person EXCEPT SELECT name FROM PersonFriend'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,481
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */ ### Question What is the total number of people who have no friends living in Austin?
[query_database(**{'query': 'SELECT count(DISTINCT name) FROM PersonFriend WHERE friend NOT IN (SELECT name FROM person WHERE city = 'Austin')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Person ( name varchar(20) PRIMARY KEY, age INTEGER, city TEXT, gender TEXT, job TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name ||age || city ||gender || job Alice || 25 ||new york city ||female ||student */ CREATE TABLE PersonFriend ( name varchar(20), friend varchar(20), year INTEGER, FOREIGN KEY (name) REFERENCES Person(name), FOREIGN KEY (friend) REFERENCES Person(name) ) /* 1 example row: SELECT * FROM personfriend LIMIT 1; name ||friend ||year Alice || Bob || 10 */
4,485
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "college" ( "College_ID" int, "Name" text, "Leader_Name" text, "College_Location" text, PRIMARY KEY ("College_ID") ) /* 1 example row: SELECT * FROM college LIMIT 1; College_ID || Name || Leader_Name ||College_Location 1 ||Saskatchewan School ||Ousame Tounkara || Ottawa */ CREATE TABLE "member" ( "Member_ID" int, "Name" text, "Country" text, "College_ID" int, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("College_ID") REFERENCES `college`("College_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Name || Country ||College_ID 1 ||Jack Nicklaus ||United States || 1 */ CREATE TABLE "round" ( "Round_ID" int, "Member_ID" int, "Decoration_Theme" text, "Rank_in_Round" int, PRIMARY KEY ("Member_ID","Round_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID") ) /* 1 example row: SELECT * FROM round LIMIT 1; Round_ID ||Member_ID ||Decoration_Theme ||Rank_in_Round 1 || 1 ||Walk on the Moon || 1 */ ### Question List the names of members in ascending alphabetical order.
[query_database(**{'query': 'SELECT Name FROM member ORDER BY Name ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "college" ( "College_ID" int, "Name" text, "Leader_Name" text, "College_Location" text, PRIMARY KEY ("College_ID") ) /* 1 example row: SELECT * FROM college LIMIT 1; College_ID || Name || Leader_Name ||College_Location 1 ||Saskatchewan School ||Ousame Tounkara || Ottawa */ CREATE TABLE "member" ( "Member_ID" int, "Name" text, "Country" text, "College_ID" int, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("College_ID") REFERENCES `college`("College_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Name || Country ||College_ID 1 ||Jack Nicklaus ||United States || 1 */ CREATE TABLE "round" ( "Round_ID" int, "Member_ID" int, "Decoration_Theme" text, "Rank_in_Round" int, PRIMARY KEY ("Member_ID","Round_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID") ) /* 1 example row: SELECT * FROM round LIMIT 1; Round_ID ||Member_ID ||Decoration_Theme ||Rank_in_Round 1 || 1 ||Walk on the Moon || 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 "college" ( "College_ID" int, "Name" text, "Leader_Name" text, "College_Location" text, PRIMARY KEY ("College_ID") ) /* 1 example row: SELECT * FROM college LIMIT 1; College_ID || Name || Leader_Name ||College_Location 1 ||Saskatchewan School ||Ousame Tounkara || Ottawa */ CREATE TABLE "member" ( "Member_ID" int, "Name" text, "Country" text, "College_ID" int, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("College_ID") REFERENCES `college`("College_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Name || Country ||College_ID 1 ||Jack Nicklaus ||United States || 1 */ CREATE TABLE "round" ( "Round_ID" int, "Member_ID" int, "Decoration_Theme" text, "Rank_in_Round" int, PRIMARY KEY ("Member_ID","Round_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID") ) /* 1 example row: SELECT * FROM round LIMIT 1; Round_ID ||Member_ID ||Decoration_Theme ||Rank_in_Round 1 || 1 ||Walk on the Moon || 1 */ ### Question Show the most common country across members.
[query_database(**{'query': 'SELECT Country FROM member GROUP BY Country 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 "college" ( "College_ID" int, "Name" text, "Leader_Name" text, "College_Location" text, PRIMARY KEY ("College_ID") ) /* 1 example row: SELECT * FROM college LIMIT 1; College_ID || Name || Leader_Name ||College_Location 1 ||Saskatchewan School ||Ousame Tounkara || Ottawa */ CREATE TABLE "member" ( "Member_ID" int, "Name" text, "Country" text, "College_ID" int, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("College_ID") REFERENCES `college`("College_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Name || Country ||College_ID 1 ||Jack Nicklaus ||United States || 1 */ CREATE TABLE "round" ( "Round_ID" int, "Member_ID" int, "Decoration_Theme" text, "Rank_in_Round" int, PRIMARY KEY ("Member_ID","Round_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID") ) /* 1 example row: SELECT * FROM round LIMIT 1; Round_ID ||Member_ID ||Decoration_Theme ||Rank_in_Round 1 || 1 ||Walk on the Moon || 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 "college" ( "College_ID" int, "Name" text, "Leader_Name" text, "College_Location" text, PRIMARY KEY ("College_ID") ) /* 1 example row: SELECT * FROM college LIMIT 1; College_ID || Name || Leader_Name ||College_Location 1 ||Saskatchewan School ||Ousame Tounkara || Ottawa */ CREATE TABLE "member" ( "Member_ID" int, "Name" text, "Country" text, "College_ID" int, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("College_ID") REFERENCES `college`("College_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Name || Country ||College_ID 1 ||Jack Nicklaus ||United States || 1 */ CREATE TABLE "round" ( "Round_ID" int, "Member_ID" int, "Decoration_Theme" text, "Rank_in_Round" int, PRIMARY KEY ("Member_ID","Round_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID") ) /* 1 example row: SELECT * FROM round LIMIT 1; Round_ID ||Member_ID ||Decoration_Theme ||Rank_in_Round 1 || 1 ||Walk on the Moon || 1 */ ### Question Show the names of members and the locations of colleges they go to in ascending alphabetical order of member names.
[query_database(**{'query': 'SELECT T2.Name , T1.College_Location FROM college AS T1 JOIN member AS T2 ON T1.College_ID = T2.College_ID ORDER BY T2.Name ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "college" ( "College_ID" int, "Name" text, "Leader_Name" text, "College_Location" text, PRIMARY KEY ("College_ID") ) /* 1 example row: SELECT * FROM college LIMIT 1; College_ID || Name || Leader_Name ||College_Location 1 ||Saskatchewan School ||Ousame Tounkara || Ottawa */ CREATE TABLE "member" ( "Member_ID" int, "Name" text, "Country" text, "College_ID" int, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("College_ID") REFERENCES `college`("College_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Name || Country ||College_ID 1 ||Jack Nicklaus ||United States || 1 */ CREATE TABLE "round" ( "Round_ID" int, "Member_ID" int, "Decoration_Theme" text, "Rank_in_Round" int, PRIMARY KEY ("Member_ID","Round_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID") ) /* 1 example row: SELECT * FROM round LIMIT 1; Round_ID ||Member_ID ||Decoration_Theme ||Rank_in_Round 1 || 1 ||Walk on the Moon || 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 "college" ( "College_ID" int, "Name" text, "Leader_Name" text, "College_Location" text, PRIMARY KEY ("College_ID") ) /* 1 example row: SELECT * FROM college LIMIT 1; College_ID || Name || Leader_Name ||College_Location 1 ||Saskatchewan School ||Ousame Tounkara || Ottawa */ CREATE TABLE "member" ( "Member_ID" int, "Name" text, "Country" text, "College_ID" int, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("College_ID") REFERENCES `college`("College_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Name || Country ||College_ID 1 ||Jack Nicklaus ||United States || 1 */ CREATE TABLE "round" ( "Round_ID" int, "Member_ID" int, "Decoration_Theme" text, "Rank_in_Round" int, PRIMARY KEY ("Member_ID","Round_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID") ) /* 1 example row: SELECT * FROM round LIMIT 1; Round_ID ||Member_ID ||Decoration_Theme ||Rank_in_Round 1 || 1 ||Walk on the Moon || 1 */ ### Question Show the names of members in ascending order of their rank in rounds.
[query_database(**{'query': 'SELECT T1.Name FROM member AS T1 JOIN round AS T2 ON T1.Member_ID = T2.Member_ID ORDER BY Rank_in_Round 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 "college" ( "College_ID" int, "Name" text, "Leader_Name" text, "College_Location" text, PRIMARY KEY ("College_ID") ) /* 1 example row: SELECT * FROM college LIMIT 1; College_ID || Name || Leader_Name ||College_Location 1 ||Saskatchewan School ||Ousame Tounkara || Ottawa */ CREATE TABLE "member" ( "Member_ID" int, "Name" text, "Country" text, "College_ID" int, PRIMARY KEY ("Member_ID"), FOREIGN KEY ("College_ID") REFERENCES `college`("College_ID") ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Name || Country ||College_ID 1 ||Jack Nicklaus ||United States || 1 */ CREATE TABLE "round" ( "Round_ID" int, "Member_ID" int, "Decoration_Theme" text, "Rank_in_Round" int, PRIMARY KEY ("Member_ID","Round_ID"), FOREIGN KEY ("Member_ID") REFERENCES "member"("Member_ID") ) /* 1 example row: SELECT * FROM round LIMIT 1; Round_ID ||Member_ID ||Decoration_Theme ||Rank_in_Round 1 || 1 ||Walk on the Moon || 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 `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question Find the name of the document that has been accessed the greatest number of times, as well as the count of how many times it has been accessed?
[query_database(**{'query': 'SELECT document_name , access_count FROM documents ORDER BY access_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 `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question Find the total access count of all documents in the most popular document type.
[query_database(**{'query': 'SELECT sum(access_count) FROM documents GROUP BY document_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 `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question What is the structure of the document with the least number of accesses?
[query_database(**{'query': 'SELECT t2.document_structure_description FROM documents AS t1 JOIN document_structures AS t2 ON t1.document_structure_code = t2.document_structure_code GROUP BY t1.document_structure_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 `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
4,512
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question Return the type code of the document named "David CV".
[query_database(**{'query': 'SELECT document_type_code FROM documents WHERE document_name = "David CV"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question What document types do have more than 10000 total access number.
[query_database(**{'query': 'SELECT document_type_code FROM documents GROUP BY document_type_code HAVING sum(access_count) > 10000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question Give the section titles of the document with the name "David CV".
[query_database(**{'query': 'SELECT t2.section_title FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code WHERE t1.document_name = "David CV"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
4,523
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question Find the average access counts of documents with functional area "Acknowledgement".
[query_database(**{'query': 'SELECT avg(t1.access_count) FROM documents AS t1 JOIN document_functional_areas AS t2 ON t1.document_code = t2.document_code JOIN functional_areas AS t3 ON t2.functional_area_code = t3.functional_area_code WHERE t3.functional_area_description = "Acknowledgement"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question What is the name of the document with the most number of sections?
[query_database(**{'query': 'SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code GROUP BY t1.document_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 `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question How many users are logged in?
[query_database(**{'query': 'SELECT count(*) FROM users WHERE user_login = 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 `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question Find the average access count of documents with the least popular structure.
[query_database(**{'query': 'SELECT avg(access_count) FROM documents GROUP BY document_structure_code 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 `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question What are the names and urls of images, sorted alphabetically?
[query_database(**{'query': 'SELECT image_name , image_url FROM images ORDER BY image_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 `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */ ### Question Give the codes of document types that have more than 2 corresponding documents.
[query_database(**{'query': 'SELECT document_type_code FROM documents GROUP BY document_type_code 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 `Roles` ( `role_code` VARCHAR(15) PRIMARY KEY, `role_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code || role_description DBA ||Database Administrator */ CREATE TABLE `Users` ( `user_id` INTEGER PRIMARY KEY, `role_code` VARCHAR(15) NOT NULL, `user_name` VARCHAR(40), `user_login` VARCHAR(40), `password` VARCHAR(40), FOREIGN KEY (`role_code` ) REFERENCES `Roles`(`role_code` ) ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||role_code || user_name ||user_login || password 1 || PROJ-MGR ||dickens.elta || 0 ||e72b5a2d50b39a8760764a5f7a9d68ca2f076877 */ CREATE TABLE `Document_Structures` ( `document_structure_code` VARCHAR(15) PRIMARY KEY, `parent_document_structure_code` VARCHAR(15), `document_structure_description` VARCHAR(80) ) /* 1 example row: SELECT * FROM document_structures LIMIT 1; document_structure_code ||parent_document_structure_code ||document_structure_description 1 || 1 || Header */ CREATE TABLE `Functional_Areas` ( `functional_area_code` VARCHAR(15) PRIMARY KEY, `parent_functional_area_code` VARCHAR(15), `functional_area_description` VARCHAR(80) NOT NULL ) /* 1 example row: SELECT * FROM functional_areas LIMIT 1; functional_area_code ||parent_functional_area_code ||functional_area_description 8 || 8 || Signature */ CREATE TABLE `Images` ( `image_id` INTEGER PRIMARY KEY, `image_alt_text` VARCHAR(80), `image_name` VARCHAR(40), `image_url` VARCHAR(255) ) /* 1 example row: SELECT * FROM images LIMIT 1; image_id ||image_alt_text ||image_name || image_url 1 || Lea || top1 ||http://www.rempelnader.com/1.jpg */ CREATE TABLE `Documents` ( `document_code` VARCHAR(15) PRIMARY KEY, `document_structure_code` VARCHAR(15) NOT NULL, `document_type_code` VARCHAR(15) NOT NULL, `access_count` INTEGER, `document_name` VARCHAR(80), FOREIGN KEY (`document_structure_code` ) REFERENCES `Document_Structures`(`document_structure_code` ) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_code ||document_structure_code ||document_type_code ||access_count || document_name 217 || 8 || Book || 1864 ||Learning English */ CREATE TABLE `Document_Functional_Areas` ( `document_code` VARCHAR(15) NOT NULL, `functional_area_code` VARCHAR(15) NOT NULL, FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ), FOREIGN KEY (`functional_area_code` ) REFERENCES `Functional_Areas`(`functional_area_code` ) ) /* 1 example row: SELECT * FROM document_functional_areas LIMIT 1; document_code ||functional_area_code 675 || 9 */ CREATE TABLE `Document_Sections` ( `section_id` INTEGER PRIMARY KEY, `document_code` VARCHAR(15) NOT NULL, `section_sequence` INTEGER, `section_code` VARCHAR(20), `section_title` VARCHAR(80), FOREIGN KEY (`document_code` ) REFERENCES `Documents`(`document_code` ) ) /* 1 example row: SELECT * FROM document_sections LIMIT 1; section_id ||document_code ||section_sequence ||section_code ||section_title 12 || 714 || 6072 || 70 || after */ CREATE TABLE `Document_Sections_Images` ( `section_id` INTEGER NOT NULL, `image_id` INTEGER NOT NULL, PRIMARY KEY (`section_id`,`image_id`), FOREIGN KEY (`section_id` ) REFERENCES `Document_Sections`(`section_id` ), FOREIGN KEY (`image_id` ) REFERENCES `Images`(`image_id` ) ) /* 1 example row: SELECT * FROM document_sections_images LIMIT 1; section_id ||image_id 93 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question Find the names of the companies whose headquarters are not located in "USA".
[query_database(**{'query': 'SELECT name FROM Companies WHERE Headquarters != 'USA''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question Compute the average profits companies make.
[query_database(**{'query': 'SELECT avg(Profits_billion) FROM Companies'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question Count the number of distinct company industries.
[query_database(**{'query': 'SELECT count(DISTINCT Industry) FROM Companies'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question What is the stories of highest building?
[query_database(**{'query': 'SELECT Stories FROM buildings ORDER BY Height DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question Which buildings have more than one company offices? Give me the building names.
[query_database(**{'query': 'SELECT T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id HAVING COUNT(*) > 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question Find the names of the buildings in "on-hold" status, and sort them in ascending order of building stories.
[query_database(**{'query': 'SELECT name FROM buildings WHERE Status = "on-hold" ORDER BY Stories 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 "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
4,572
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question Sort all the industries in descending order of the count of companies in each industry
[query_database(**{'query': 'SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) 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 "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question Which buildings do not have any company office? Give me the building names.
[query_database(**{'query': 'SELECT name FROM buildings WHERE id NOT IN (SELECT building_id FROM Office_locations)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */ ### Question How many companies are in either "Banking" industry or "Conglomerate" industry?
[query_database(**{'query': 'SELECT count(*) FROM Companies WHERE Industry = "Banking" OR Industry = "Conglomerate"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "buildings" ( "id" int, "name" text, "City" text, "Height" int, "Stories" int, "Status" text, PRIMARY KEY("id") ) /* 1 example row: SELECT * FROM buildings LIMIT 1; id || name || City ||Height ||Stories || Status 1 ||Torre KOI ||Monterrey || 220 || 67 ||under construction */ CREATE TABLE "Companies" ( "id" int, "name" text, "Headquarters" text, "Industry" text, "Sales_billion" real, "Profits_billion" real, "Assets_billion" real, "Market_Value_billion" text, PRIMARY KEY ("id") ) /* 1 example row: SELECT * FROM companies LIMIT 1; id || name ||Headquarters ||Industry ||Sales_billion ||Profits_billion ||Assets_billion ||Market_Value_billion 1 ||JPMorgan Chase || USA || Banking || 115.5 || 17.4 || 2117.6 || 182.2 */ CREATE TABLE "Office_locations" ( "building_id" int, "company_id" int, "move_in_year" int, PRIMARY KEY ("building_id", "company_id"), FOREIGN KEY ("building_id") REFERENCES "buildings"("id"), FOREIGN KEY ("company_id") REFERENCES "Companies"("id") ) /* 1 example row: SELECT * FROM office_locations LIMIT 1; building_id ||company_id ||move_in_year 1 || 1 || 2021 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 NOT NULL , address_details VARCHAR(255), PRIMARY KEY (Address_ID), UNIQUE (Address_ID) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; Address_ID || address_details 1 ||465 Emely Bypass West Mafalda, CO 23309 */ CREATE TABLE Locations ( Location_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Location_ID) ) /* 1 example row: SELECT * FROM locations LIMIT 1; Location_ID ||Other_Details 1 || Rowe PLC */ CREATE TABLE Products ( Product_ID INTEGER NOT NULL, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), PRIMARY KEY (Product_ID), UNIQUE (Product_ID) ) /* 1 example row: SELECT * FROM products LIMIT 1; Product_ID ||Product_Type_Code || Product_Name ||Product_Price 1 || Books ||Business Policy || 1336.26 */ CREATE TABLE Parties ( Party_ID INTEGER NOT NULL, Party_Details VARCHAR(255), PRIMARY KEY (Party_ID) ) /* 1 example row: SELECT * FROM parties LIMIT 1; Party_ID || Party_Details 3 ||European People's Party */ CREATE TABLE Assets ( Asset_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Asset_ID) ) /* 1 example row: SELECT * FROM assets LIMIT 1; Asset_ID || Other_Details 1 ||Transportation Cars */ CREATE TABLE Channels ( Channel_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Channel_ID) ) /* 1 example row: SELECT * FROM channels LIMIT 1; Channel_ID ||Other_Details 1 || 145 */ CREATE TABLE Finances ( Finance_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Finance_ID) ) /* 1 example row: SELECT * FROM finances LIMIT 1; Finance_ID ||Other_Details 1 || Mutual */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL , Address_ID INTEGER, Channel_ID INTEGER NOT NULL, Event_Type_Code CHAR(15), Finance_ID INTEGER NOT NULL, Location_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID), UNIQUE (Event_ID), FOREIGN KEY (Location_ID) REFERENCES Locations (Location_ID), FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID), FOREIGN KEY (Finance_ID) REFERENCES Finances (Finance_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Address_ID ||Channel_ID ||Event_Type_Code ||Finance_ID ||Location_ID 1 || 3 || 12 || Trade Show || 2 || 13 */ CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Product_ID INTEGER NOT NULL, PRIMARY KEY (Product_in_Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID) ) /* 1 example row: SELECT * FROM products_in_events LIMIT 1; Product_in_Event_ID ||Event_ID ||Product_ID 13 || 4 || 29 */ CREATE TABLE Parties_in_Events ( Party_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Role_Code CHAR(15), PRIMARY KEY (Party_ID, Event_ID), FOREIGN KEY (Party_ID) REFERENCES Parties (Party_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM parties_in_events LIMIT 1; Party_ID ||Event_ID ||Role_Code 3 || 7 ||Organizer */ CREATE TABLE Agreements ( Document_ID INTEGER NOT NULL , Event_ID INTEGER NOT NULL, PRIMARY KEY (Document_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM agreements LIMIT 1; Document_ID ||Event_ID 1 || 13 */ CREATE TABLE Assets_in_Events ( Asset_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, PRIMARY KEY (Asset_ID, Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM assets_in_events LIMIT 1; Asset_ID ||Event_ID 1 || 4 */ ### Question List the name of products in ascending order of price.
[query_database(**{'query': 'SELECT Product_Name FROM Products ORDER BY Product_Price 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 Addresses ( Address_ID INTEGER NOT NULL , address_details VARCHAR(255), PRIMARY KEY (Address_ID), UNIQUE (Address_ID) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; Address_ID || address_details 1 ||465 Emely Bypass West Mafalda, CO 23309 */ CREATE TABLE Locations ( Location_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Location_ID) ) /* 1 example row: SELECT * FROM locations LIMIT 1; Location_ID ||Other_Details 1 || Rowe PLC */ CREATE TABLE Products ( Product_ID INTEGER NOT NULL, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), PRIMARY KEY (Product_ID), UNIQUE (Product_ID) ) /* 1 example row: SELECT * FROM products LIMIT 1; Product_ID ||Product_Type_Code || Product_Name ||Product_Price 1 || Books ||Business Policy || 1336.26 */ CREATE TABLE Parties ( Party_ID INTEGER NOT NULL, Party_Details VARCHAR(255), PRIMARY KEY (Party_ID) ) /* 1 example row: SELECT * FROM parties LIMIT 1; Party_ID || Party_Details 3 ||European People's Party */ CREATE TABLE Assets ( Asset_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Asset_ID) ) /* 1 example row: SELECT * FROM assets LIMIT 1; Asset_ID || Other_Details 1 ||Transportation Cars */ CREATE TABLE Channels ( Channel_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Channel_ID) ) /* 1 example row: SELECT * FROM channels LIMIT 1; Channel_ID ||Other_Details 1 || 145 */ CREATE TABLE Finances ( Finance_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Finance_ID) ) /* 1 example row: SELECT * FROM finances LIMIT 1; Finance_ID ||Other_Details 1 || Mutual */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL , Address_ID INTEGER, Channel_ID INTEGER NOT NULL, Event_Type_Code CHAR(15), Finance_ID INTEGER NOT NULL, Location_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID), UNIQUE (Event_ID), FOREIGN KEY (Location_ID) REFERENCES Locations (Location_ID), FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID), FOREIGN KEY (Finance_ID) REFERENCES Finances (Finance_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Address_ID ||Channel_ID ||Event_Type_Code ||Finance_ID ||Location_ID 1 || 3 || 12 || Trade Show || 2 || 13 */ CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Product_ID INTEGER NOT NULL, PRIMARY KEY (Product_in_Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID) ) /* 1 example row: SELECT * FROM products_in_events LIMIT 1; Product_in_Event_ID ||Event_ID ||Product_ID 13 || 4 || 29 */ CREATE TABLE Parties_in_Events ( Party_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Role_Code CHAR(15), PRIMARY KEY (Party_ID, Event_ID), FOREIGN KEY (Party_ID) REFERENCES Parties (Party_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM parties_in_events LIMIT 1; Party_ID ||Event_ID ||Role_Code 3 || 7 ||Organizer */ CREATE TABLE Agreements ( Document_ID INTEGER NOT NULL , Event_ID INTEGER NOT NULL, PRIMARY KEY (Document_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM agreements LIMIT 1; Document_ID ||Event_ID 1 || 13 */ CREATE TABLE Assets_in_Events ( Asset_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, PRIMARY KEY (Asset_ID, Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM assets_in_events LIMIT 1; Asset_ID ||Event_ID 1 || 4 */
4,588
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 NOT NULL , address_details VARCHAR(255), PRIMARY KEY (Address_ID), UNIQUE (Address_ID) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; Address_ID || address_details 1 ||465 Emely Bypass West Mafalda, CO 23309 */ CREATE TABLE Locations ( Location_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Location_ID) ) /* 1 example row: SELECT * FROM locations LIMIT 1; Location_ID ||Other_Details 1 || Rowe PLC */ CREATE TABLE Products ( Product_ID INTEGER NOT NULL, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), PRIMARY KEY (Product_ID), UNIQUE (Product_ID) ) /* 1 example row: SELECT * FROM products LIMIT 1; Product_ID ||Product_Type_Code || Product_Name ||Product_Price 1 || Books ||Business Policy || 1336.26 */ CREATE TABLE Parties ( Party_ID INTEGER NOT NULL, Party_Details VARCHAR(255), PRIMARY KEY (Party_ID) ) /* 1 example row: SELECT * FROM parties LIMIT 1; Party_ID || Party_Details 3 ||European People's Party */ CREATE TABLE Assets ( Asset_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Asset_ID) ) /* 1 example row: SELECT * FROM assets LIMIT 1; Asset_ID || Other_Details 1 ||Transportation Cars */ CREATE TABLE Channels ( Channel_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Channel_ID) ) /* 1 example row: SELECT * FROM channels LIMIT 1; Channel_ID ||Other_Details 1 || 145 */ CREATE TABLE Finances ( Finance_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Finance_ID) ) /* 1 example row: SELECT * FROM finances LIMIT 1; Finance_ID ||Other_Details 1 || Mutual */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL , Address_ID INTEGER, Channel_ID INTEGER NOT NULL, Event_Type_Code CHAR(15), Finance_ID INTEGER NOT NULL, Location_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID), UNIQUE (Event_ID), FOREIGN KEY (Location_ID) REFERENCES Locations (Location_ID), FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID), FOREIGN KEY (Finance_ID) REFERENCES Finances (Finance_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Address_ID ||Channel_ID ||Event_Type_Code ||Finance_ID ||Location_ID 1 || 3 || 12 || Trade Show || 2 || 13 */ CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Product_ID INTEGER NOT NULL, PRIMARY KEY (Product_in_Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID) ) /* 1 example row: SELECT * FROM products_in_events LIMIT 1; Product_in_Event_ID ||Event_ID ||Product_ID 13 || 4 || 29 */ CREATE TABLE Parties_in_Events ( Party_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Role_Code CHAR(15), PRIMARY KEY (Party_ID, Event_ID), FOREIGN KEY (Party_ID) REFERENCES Parties (Party_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM parties_in_events LIMIT 1; Party_ID ||Event_ID ||Role_Code 3 || 7 ||Organizer */ CREATE TABLE Agreements ( Document_ID INTEGER NOT NULL , Event_ID INTEGER NOT NULL, PRIMARY KEY (Document_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM agreements LIMIT 1; Document_ID ||Event_ID 1 || 13 */ CREATE TABLE Assets_in_Events ( Asset_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, PRIMARY KEY (Asset_ID, Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM assets_in_events LIMIT 1; Asset_ID ||Event_ID 1 || 4 */ ### Question What is the name of the product with the highest price?
[query_database(**{'query': 'SELECT Product_Name 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 Addresses ( Address_ID INTEGER NOT NULL , address_details VARCHAR(255), PRIMARY KEY (Address_ID), UNIQUE (Address_ID) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; Address_ID || address_details 1 ||465 Emely Bypass West Mafalda, CO 23309 */ CREATE TABLE Locations ( Location_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Location_ID) ) /* 1 example row: SELECT * FROM locations LIMIT 1; Location_ID ||Other_Details 1 || Rowe PLC */ CREATE TABLE Products ( Product_ID INTEGER NOT NULL, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), PRIMARY KEY (Product_ID), UNIQUE (Product_ID) ) /* 1 example row: SELECT * FROM products LIMIT 1; Product_ID ||Product_Type_Code || Product_Name ||Product_Price 1 || Books ||Business Policy || 1336.26 */ CREATE TABLE Parties ( Party_ID INTEGER NOT NULL, Party_Details VARCHAR(255), PRIMARY KEY (Party_ID) ) /* 1 example row: SELECT * FROM parties LIMIT 1; Party_ID || Party_Details 3 ||European People's Party */ CREATE TABLE Assets ( Asset_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Asset_ID) ) /* 1 example row: SELECT * FROM assets LIMIT 1; Asset_ID || Other_Details 1 ||Transportation Cars */ CREATE TABLE Channels ( Channel_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Channel_ID) ) /* 1 example row: SELECT * FROM channels LIMIT 1; Channel_ID ||Other_Details 1 || 145 */ CREATE TABLE Finances ( Finance_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Finance_ID) ) /* 1 example row: SELECT * FROM finances LIMIT 1; Finance_ID ||Other_Details 1 || Mutual */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL , Address_ID INTEGER, Channel_ID INTEGER NOT NULL, Event_Type_Code CHAR(15), Finance_ID INTEGER NOT NULL, Location_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID), UNIQUE (Event_ID), FOREIGN KEY (Location_ID) REFERENCES Locations (Location_ID), FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID), FOREIGN KEY (Finance_ID) REFERENCES Finances (Finance_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Address_ID ||Channel_ID ||Event_Type_Code ||Finance_ID ||Location_ID 1 || 3 || 12 || Trade Show || 2 || 13 */ CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Product_ID INTEGER NOT NULL, PRIMARY KEY (Product_in_Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID) ) /* 1 example row: SELECT * FROM products_in_events LIMIT 1; Product_in_Event_ID ||Event_ID ||Product_ID 13 || 4 || 29 */ CREATE TABLE Parties_in_Events ( Party_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Role_Code CHAR(15), PRIMARY KEY (Party_ID, Event_ID), FOREIGN KEY (Party_ID) REFERENCES Parties (Party_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM parties_in_events LIMIT 1; Party_ID ||Event_ID ||Role_Code 3 || 7 ||Organizer */ CREATE TABLE Agreements ( Document_ID INTEGER NOT NULL , Event_ID INTEGER NOT NULL, PRIMARY KEY (Document_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM agreements LIMIT 1; Document_ID ||Event_ID 1 || 13 */ CREATE TABLE Assets_in_Events ( Asset_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, PRIMARY KEY (Asset_ID, Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM assets_in_events LIMIT 1; Asset_ID ||Event_ID 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( Address_ID INTEGER NOT NULL , address_details VARCHAR(255), PRIMARY KEY (Address_ID), UNIQUE (Address_ID) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; Address_ID || address_details 1 ||465 Emely Bypass West Mafalda, CO 23309 */ CREATE TABLE Locations ( Location_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Location_ID) ) /* 1 example row: SELECT * FROM locations LIMIT 1; Location_ID ||Other_Details 1 || Rowe PLC */ CREATE TABLE Products ( Product_ID INTEGER NOT NULL, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), PRIMARY KEY (Product_ID), UNIQUE (Product_ID) ) /* 1 example row: SELECT * FROM products LIMIT 1; Product_ID ||Product_Type_Code || Product_Name ||Product_Price 1 || Books ||Business Policy || 1336.26 */ CREATE TABLE Parties ( Party_ID INTEGER NOT NULL, Party_Details VARCHAR(255), PRIMARY KEY (Party_ID) ) /* 1 example row: SELECT * FROM parties LIMIT 1; Party_ID || Party_Details 3 ||European People's Party */ CREATE TABLE Assets ( Asset_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Asset_ID) ) /* 1 example row: SELECT * FROM assets LIMIT 1; Asset_ID || Other_Details 1 ||Transportation Cars */ CREATE TABLE Channels ( Channel_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Channel_ID) ) /* 1 example row: SELECT * FROM channels LIMIT 1; Channel_ID ||Other_Details 1 || 145 */ CREATE TABLE Finances ( Finance_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Finance_ID) ) /* 1 example row: SELECT * FROM finances LIMIT 1; Finance_ID ||Other_Details 1 || Mutual */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL , Address_ID INTEGER, Channel_ID INTEGER NOT NULL, Event_Type_Code CHAR(15), Finance_ID INTEGER NOT NULL, Location_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID), UNIQUE (Event_ID), FOREIGN KEY (Location_ID) REFERENCES Locations (Location_ID), FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID), FOREIGN KEY (Finance_ID) REFERENCES Finances (Finance_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Address_ID ||Channel_ID ||Event_Type_Code ||Finance_ID ||Location_ID 1 || 3 || 12 || Trade Show || 2 || 13 */ CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Product_ID INTEGER NOT NULL, PRIMARY KEY (Product_in_Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID) ) /* 1 example row: SELECT * FROM products_in_events LIMIT 1; Product_in_Event_ID ||Event_ID ||Product_ID 13 || 4 || 29 */ CREATE TABLE Parties_in_Events ( Party_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Role_Code CHAR(15), PRIMARY KEY (Party_ID, Event_ID), FOREIGN KEY (Party_ID) REFERENCES Parties (Party_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM parties_in_events LIMIT 1; Party_ID ||Event_ID ||Role_Code 3 || 7 ||Organizer */ CREATE TABLE Agreements ( Document_ID INTEGER NOT NULL , Event_ID INTEGER NOT NULL, PRIMARY KEY (Document_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM agreements LIMIT 1; Document_ID ||Event_ID 1 || 13 */ CREATE TABLE Assets_in_Events ( Asset_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, PRIMARY KEY (Asset_ID, Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM assets_in_events LIMIT 1; Asset_ID ||Event_ID 1 || 4 */ ### Question Show the product type codes that have both products with price higher than 4500 and products with price lower than 3000.
[query_database(**{'query': 'SELECT Product_Type_Code FROM Products WHERE Product_Price > 4500 INTERSECT SELECT Product_Type_Code FROM Products WHERE Product_Price < 3000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 NOT NULL , address_details VARCHAR(255), PRIMARY KEY (Address_ID), UNIQUE (Address_ID) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; Address_ID || address_details 1 ||465 Emely Bypass West Mafalda, CO 23309 */ CREATE TABLE Locations ( Location_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Location_ID) ) /* 1 example row: SELECT * FROM locations LIMIT 1; Location_ID ||Other_Details 1 || Rowe PLC */ CREATE TABLE Products ( Product_ID INTEGER NOT NULL, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), PRIMARY KEY (Product_ID), UNIQUE (Product_ID) ) /* 1 example row: SELECT * FROM products LIMIT 1; Product_ID ||Product_Type_Code || Product_Name ||Product_Price 1 || Books ||Business Policy || 1336.26 */ CREATE TABLE Parties ( Party_ID INTEGER NOT NULL, Party_Details VARCHAR(255), PRIMARY KEY (Party_ID) ) /* 1 example row: SELECT * FROM parties LIMIT 1; Party_ID || Party_Details 3 ||European People's Party */ CREATE TABLE Assets ( Asset_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Asset_ID) ) /* 1 example row: SELECT * FROM assets LIMIT 1; Asset_ID || Other_Details 1 ||Transportation Cars */ CREATE TABLE Channels ( Channel_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Channel_ID) ) /* 1 example row: SELECT * FROM channels LIMIT 1; Channel_ID ||Other_Details 1 || 145 */ CREATE TABLE Finances ( Finance_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Finance_ID) ) /* 1 example row: SELECT * FROM finances LIMIT 1; Finance_ID ||Other_Details 1 || Mutual */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL , Address_ID INTEGER, Channel_ID INTEGER NOT NULL, Event_Type_Code CHAR(15), Finance_ID INTEGER NOT NULL, Location_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID), UNIQUE (Event_ID), FOREIGN KEY (Location_ID) REFERENCES Locations (Location_ID), FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID), FOREIGN KEY (Finance_ID) REFERENCES Finances (Finance_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Address_ID ||Channel_ID ||Event_Type_Code ||Finance_ID ||Location_ID 1 || 3 || 12 || Trade Show || 2 || 13 */ CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Product_ID INTEGER NOT NULL, PRIMARY KEY (Product_in_Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID) ) /* 1 example row: SELECT * FROM products_in_events LIMIT 1; Product_in_Event_ID ||Event_ID ||Product_ID 13 || 4 || 29 */ CREATE TABLE Parties_in_Events ( Party_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Role_Code CHAR(15), PRIMARY KEY (Party_ID, Event_ID), FOREIGN KEY (Party_ID) REFERENCES Parties (Party_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM parties_in_events LIMIT 1; Party_ID ||Event_ID ||Role_Code 3 || 7 ||Organizer */ CREATE TABLE Agreements ( Document_ID INTEGER NOT NULL , Event_ID INTEGER NOT NULL, PRIMARY KEY (Document_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM agreements LIMIT 1; Document_ID ||Event_ID 1 || 13 */ CREATE TABLE Assets_in_Events ( Asset_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, PRIMARY KEY (Asset_ID, Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM assets_in_events LIMIT 1; Asset_ID ||Event_ID 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Addresses ( Address_ID INTEGER NOT NULL , address_details VARCHAR(255), PRIMARY KEY (Address_ID), UNIQUE (Address_ID) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; Address_ID || address_details 1 ||465 Emely Bypass West Mafalda, CO 23309 */ CREATE TABLE Locations ( Location_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Location_ID) ) /* 1 example row: SELECT * FROM locations LIMIT 1; Location_ID ||Other_Details 1 || Rowe PLC */ CREATE TABLE Products ( Product_ID INTEGER NOT NULL, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), PRIMARY KEY (Product_ID), UNIQUE (Product_ID) ) /* 1 example row: SELECT * FROM products LIMIT 1; Product_ID ||Product_Type_Code || Product_Name ||Product_Price 1 || Books ||Business Policy || 1336.26 */ CREATE TABLE Parties ( Party_ID INTEGER NOT NULL, Party_Details VARCHAR(255), PRIMARY KEY (Party_ID) ) /* 1 example row: SELECT * FROM parties LIMIT 1; Party_ID || Party_Details 3 ||European People's Party */ CREATE TABLE Assets ( Asset_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Asset_ID) ) /* 1 example row: SELECT * FROM assets LIMIT 1; Asset_ID || Other_Details 1 ||Transportation Cars */ CREATE TABLE Channels ( Channel_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Channel_ID) ) /* 1 example row: SELECT * FROM channels LIMIT 1; Channel_ID ||Other_Details 1 || 145 */ CREATE TABLE Finances ( Finance_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Finance_ID) ) /* 1 example row: SELECT * FROM finances LIMIT 1; Finance_ID ||Other_Details 1 || Mutual */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL , Address_ID INTEGER, Channel_ID INTEGER NOT NULL, Event_Type_Code CHAR(15), Finance_ID INTEGER NOT NULL, Location_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID), UNIQUE (Event_ID), FOREIGN KEY (Location_ID) REFERENCES Locations (Location_ID), FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID), FOREIGN KEY (Finance_ID) REFERENCES Finances (Finance_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Address_ID ||Channel_ID ||Event_Type_Code ||Finance_ID ||Location_ID 1 || 3 || 12 || Trade Show || 2 || 13 */ CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Product_ID INTEGER NOT NULL, PRIMARY KEY (Product_in_Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID) ) /* 1 example row: SELECT * FROM products_in_events LIMIT 1; Product_in_Event_ID ||Event_ID ||Product_ID 13 || 4 || 29 */ CREATE TABLE Parties_in_Events ( Party_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Role_Code CHAR(15), PRIMARY KEY (Party_ID, Event_ID), FOREIGN KEY (Party_ID) REFERENCES Parties (Party_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM parties_in_events LIMIT 1; Party_ID ||Event_ID ||Role_Code 3 || 7 ||Organizer */ CREATE TABLE Agreements ( Document_ID INTEGER NOT NULL , Event_ID INTEGER NOT NULL, PRIMARY KEY (Document_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM agreements LIMIT 1; Document_ID ||Event_ID 1 || 13 */ CREATE TABLE Assets_in_Events ( Asset_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, PRIMARY KEY (Asset_ID, Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM assets_in_events LIMIT 1; Asset_ID ||Event_ID 1 || 4 */ ### Question Show the names of products that are in at least two events in ascending alphabetical order of product name.
[query_database(**{'query': 'SELECT T1.Product_Name FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name HAVING COUNT(*) >= 2 ORDER 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 Addresses ( Address_ID INTEGER NOT NULL , address_details VARCHAR(255), PRIMARY KEY (Address_ID), UNIQUE (Address_ID) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; Address_ID || address_details 1 ||465 Emely Bypass West Mafalda, CO 23309 */ CREATE TABLE Locations ( Location_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Location_ID) ) /* 1 example row: SELECT * FROM locations LIMIT 1; Location_ID ||Other_Details 1 || Rowe PLC */ CREATE TABLE Products ( Product_ID INTEGER NOT NULL, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4), PRIMARY KEY (Product_ID), UNIQUE (Product_ID) ) /* 1 example row: SELECT * FROM products LIMIT 1; Product_ID ||Product_Type_Code || Product_Name ||Product_Price 1 || Books ||Business Policy || 1336.26 */ CREATE TABLE Parties ( Party_ID INTEGER NOT NULL, Party_Details VARCHAR(255), PRIMARY KEY (Party_ID) ) /* 1 example row: SELECT * FROM parties LIMIT 1; Party_ID || Party_Details 3 ||European People's Party */ CREATE TABLE Assets ( Asset_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Asset_ID) ) /* 1 example row: SELECT * FROM assets LIMIT 1; Asset_ID || Other_Details 1 ||Transportation Cars */ CREATE TABLE Channels ( Channel_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Channel_ID) ) /* 1 example row: SELECT * FROM channels LIMIT 1; Channel_ID ||Other_Details 1 || 145 */ CREATE TABLE Finances ( Finance_ID INTEGER NOT NULL , Other_Details VARCHAR(255), PRIMARY KEY (Finance_ID) ) /* 1 example row: SELECT * FROM finances LIMIT 1; Finance_ID ||Other_Details 1 || Mutual */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL , Address_ID INTEGER, Channel_ID INTEGER NOT NULL, Event_Type_Code CHAR(15), Finance_ID INTEGER NOT NULL, Location_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID), UNIQUE (Event_ID), FOREIGN KEY (Location_ID) REFERENCES Locations (Location_ID), FOREIGN KEY (Address_ID) REFERENCES Addresses (Address_ID), FOREIGN KEY (Finance_ID) REFERENCES Finances (Finance_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Address_ID ||Channel_ID ||Event_Type_Code ||Finance_ID ||Location_ID 1 || 3 || 12 || Trade Show || 2 || 13 */ CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Product_ID INTEGER NOT NULL, PRIMARY KEY (Product_in_Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Product_ID) REFERENCES Products (Product_ID) ) /* 1 example row: SELECT * FROM products_in_events LIMIT 1; Product_in_Event_ID ||Event_ID ||Product_ID 13 || 4 || 29 */ CREATE TABLE Parties_in_Events ( Party_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, Role_Code CHAR(15), PRIMARY KEY (Party_ID, Event_ID), FOREIGN KEY (Party_ID) REFERENCES Parties (Party_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM parties_in_events LIMIT 1; Party_ID ||Event_ID ||Role_Code 3 || 7 ||Organizer */ CREATE TABLE Agreements ( Document_ID INTEGER NOT NULL , Event_ID INTEGER NOT NULL, PRIMARY KEY (Document_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM agreements LIMIT 1; Document_ID ||Event_ID 1 || 13 */ CREATE TABLE Assets_in_Events ( Asset_ID INTEGER NOT NULL, Event_ID INTEGER NOT NULL, PRIMARY KEY (Asset_ID, Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM assets_in_events LIMIT 1; Asset_ID ||Event_ID 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */ ### Question List the name of artworks whose type is not "Program Talent Show".
[query_database(**{'query': 'SELECT Name FROM artwork WHERE TYPE != "Program Talent Show"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */ ### Question What is the location of the festival with the largest number of audience?
[query_database(**{'query': 'SELECT LOCATION FROM festival_detail ORDER BY Num_of_Audience 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 "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */ ### Question For each nomination, show the name of the artwork and name of the festival where it is nominated.
[query_database(**{'query': 'SELECT T2.Name , T3.Festival_Name FROM nomination AS T1 JOIN artwork AS T2 ON T1.Artwork_ID = T2.Artwork_ID JOIN festival_detail AS T3 ON T1.Festival_ID = T3.Festival_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 "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */ ### Question Show the ids and names of festivals that have at least two nominations for artworks.
[query_database(**{'query': 'SELECT T1.Festival_ID , T3.Festival_Name FROM nomination AS T1 JOIN artwork AS T2 ON T1.Artwork_ID = T2.Artwork_ID JOIN festival_detail AS T3 ON T1.Festival_ID = T3.Festival_ID GROUP BY T1.Festival_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 "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */ ### Question List the year in which there are more than one festivals.
[query_database(**{'query': 'SELECT YEAR FROM festival_detail GROUP BY YEAR 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 "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */ ### Question In which year are there festivals both inside the 'United States' and outside the 'United States'?
[query_database(**{'query': 'SELECT YEAR FROM festival_detail WHERE LOCATION = 'United States' INTERSECT SELECT YEAR FROM festival_detail WHERE LOCATION != 'United States''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "festival_detail" ( "Festival_ID" int, "Festival_Name" text, "Chair_Name" text, "Location" text, "Year" int, "Num_of_Audience" int, PRIMARY KEY ("Festival_ID") ) /* 1 example row: SELECT * FROM festival_detail LIMIT 1; Festival_ID || Festival_Name || Chair_Name || Location ||Year ||Num_of_Audience 1 ||Panasonic Awards ||Raymond Floyd ||United States ||2006 || 152 */ CREATE TABLE artwork ( "Artwork_ID" int, "Type" text, "Name" text, PRIMARY KEY ("Artwork_ID") ) /* 1 example row: SELECT * FROM artwork LIMIT 1; Artwork_ID || Type || Name 1 ||Program Music/Variety Show ||Indonesian Idol */ CREATE TABLE nomination ( "Artwork_ID" int, "Festival_ID" int, "Result" text, PRIMARY KEY ("Artwork_ID","Festival_ID"), FOREIGN KEY ("Artwork_ID") REFERENCES `artwork`("Artwork_ID"), FOREIGN KEY ("Festival_ID") REFERENCES `festival_detail`("Festival_ID") ) /* 1 example row: SELECT * FROM nomination LIMIT 1; Artwork_ID ||Festival_ID || Result 1 || 2 ||Nominated */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Premises` ( `premise_id` INTEGER PRIMARY KEY, `premises_type` VARCHAR(15) NOT NULL, `premise_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM premises LIMIT 1; premise_id ||premises_type || premise_details 1 || Warehouse ||036 Lueilwitz Harbor */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_category ||product_name 1 || Food || Coffee Bean */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(15) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `customer_address` VARCHAR(255), `customer_login` VARCHAR(80), `customer_password` VARCHAR(10) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email || customer_address ||customer_login ||customer_password 1 || Credit Card || Wendell ||(773)971-9411x759 ||[email protected] ||618 Webster Stream Apt. 161 || None || b4459ad261 */ CREATE TABLE `Mailshot_Campaigns` ( `mailshot_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15), `mailshot_name` VARCHAR(80), `mailshot_start_date` DATETIME, `mailshot_end_date` DATETIME ) /* 1 example row: SELECT * FROM mailshot_campaigns LIMIT 1; mailshot_id ||product_category ||mailshot_name ||mailshot_start_date || mailshot_end_date 1 || food || US ||2018-02-15 09:52:17 ||2018-03-08 14:40:20 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `premise_id` INTEGER NOT NULL, `date_address_from` DATETIME NOT NULL, `address_type_code` VARCHAR(15) NOT NULL, `date_address_to` DATETIME, FOREIGN KEY (`premise_id` ) REFERENCES `Premises`(`premise_id` ) FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||premise_id || date_address_from ||address_type_code || date_address_to 15 || 1 ||1992-08-23 21:17:38 || Billing ||2018-02-28 20:54:58 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(15) NOT NULL, `shipping_method_code` VARCHAR(15) NOT NULL, `order_placed_datetime` DATETIME NOT NULL, `order_delivered_datetime` DATETIME, `order_shipping_charges` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code ||shipping_method_code ||order_placed_datetime ||order_delivered_datetime ||order_shipping_charges 1 || 2 || Cancelled || Unspecified || 2015-06-15 18:19:26 || 2018-03-20 12:00:00 || 85.79 */ CREATE TABLE `Mailshot_Customers` ( `mailshot_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `outcome_code` VARCHAR(15) NOT NULL, `mailshot_customer_date` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`mailshot_id` ) REFERENCES `Mailshot_Campaigns`(`mailshot_id` ) ) /* 1 example row: SELECT * FROM mailshot_customers LIMIT 1; mailshot_id ||customer_id ||outcome_code ||mailshot_customer_date 4 || 3 || Order || 2018-03-15 15:43:14 */ CREATE TABLE `Order_Items` ( `item_id` INTEGER NOT NULL , `order_item_status_code` VARCHAR(15) NOT NULL, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `item_status_code` VARCHAR(15), `item_delivered_datetime` DATETIME, `item_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; item_id ||order_item_status_code ||order_id ||product_id ||item_status_code ||item_delivered_datetime ||item_order_quantity 1 || Delivered || 10 || 13 || good || 2018-02-25 18:22:10 || 6 */ ### Question Show each premise type and the number of premises in that type.
[query_database(**{'query': 'SELECT premises_type , count(*) FROM premises GROUP BY premises_type'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Premises` ( `premise_id` INTEGER PRIMARY KEY, `premises_type` VARCHAR(15) NOT NULL, `premise_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM premises LIMIT 1; premise_id ||premises_type || premise_details 1 || Warehouse ||036 Lueilwitz Harbor */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_category ||product_name 1 || Food || Coffee Bean */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(15) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `customer_address` VARCHAR(255), `customer_login` VARCHAR(80), `customer_password` VARCHAR(10) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email || customer_address ||customer_login ||customer_password 1 || Credit Card || Wendell ||(773)971-9411x759 ||[email protected] ||618 Webster Stream Apt. 161 || None || b4459ad261 */ CREATE TABLE `Mailshot_Campaigns` ( `mailshot_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15), `mailshot_name` VARCHAR(80), `mailshot_start_date` DATETIME, `mailshot_end_date` DATETIME ) /* 1 example row: SELECT * FROM mailshot_campaigns LIMIT 1; mailshot_id ||product_category ||mailshot_name ||mailshot_start_date || mailshot_end_date 1 || food || US ||2018-02-15 09:52:17 ||2018-03-08 14:40:20 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `premise_id` INTEGER NOT NULL, `date_address_from` DATETIME NOT NULL, `address_type_code` VARCHAR(15) NOT NULL, `date_address_to` DATETIME, FOREIGN KEY (`premise_id` ) REFERENCES `Premises`(`premise_id` ) FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||premise_id || date_address_from ||address_type_code || date_address_to 15 || 1 ||1992-08-23 21:17:38 || Billing ||2018-02-28 20:54:58 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(15) NOT NULL, `shipping_method_code` VARCHAR(15) NOT NULL, `order_placed_datetime` DATETIME NOT NULL, `order_delivered_datetime` DATETIME, `order_shipping_charges` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code ||shipping_method_code ||order_placed_datetime ||order_delivered_datetime ||order_shipping_charges 1 || 2 || Cancelled || Unspecified || 2015-06-15 18:19:26 || 2018-03-20 12:00:00 || 85.79 */ CREATE TABLE `Mailshot_Customers` ( `mailshot_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `outcome_code` VARCHAR(15) NOT NULL, `mailshot_customer_date` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`mailshot_id` ) REFERENCES `Mailshot_Campaigns`(`mailshot_id` ) ) /* 1 example row: SELECT * FROM mailshot_customers LIMIT 1; mailshot_id ||customer_id ||outcome_code ||mailshot_customer_date 4 || 3 || Order || 2018-03-15 15:43:14 */ CREATE TABLE `Order_Items` ( `item_id` INTEGER NOT NULL , `order_item_status_code` VARCHAR(15) NOT NULL, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `item_status_code` VARCHAR(15), `item_delivered_datetime` DATETIME, `item_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; item_id ||order_item_status_code ||order_id ||product_id ||item_status_code ||item_delivered_datetime ||item_order_quantity 1 || Delivered || 10 || 13 || good || 2018-02-25 18:22:10 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Premises` ( `premise_id` INTEGER PRIMARY KEY, `premises_type` VARCHAR(15) NOT NULL, `premise_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM premises LIMIT 1; premise_id ||premises_type || premise_details 1 || Warehouse ||036 Lueilwitz Harbor */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_category ||product_name 1 || Food || Coffee Bean */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(15) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `customer_address` VARCHAR(255), `customer_login` VARCHAR(80), `customer_password` VARCHAR(10) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email || customer_address ||customer_login ||customer_password 1 || Credit Card || Wendell ||(773)971-9411x759 ||[email protected] ||618 Webster Stream Apt. 161 || None || b4459ad261 */ CREATE TABLE `Mailshot_Campaigns` ( `mailshot_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15), `mailshot_name` VARCHAR(80), `mailshot_start_date` DATETIME, `mailshot_end_date` DATETIME ) /* 1 example row: SELECT * FROM mailshot_campaigns LIMIT 1; mailshot_id ||product_category ||mailshot_name ||mailshot_start_date || mailshot_end_date 1 || food || US ||2018-02-15 09:52:17 ||2018-03-08 14:40:20 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `premise_id` INTEGER NOT NULL, `date_address_from` DATETIME NOT NULL, `address_type_code` VARCHAR(15) NOT NULL, `date_address_to` DATETIME, FOREIGN KEY (`premise_id` ) REFERENCES `Premises`(`premise_id` ) FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||premise_id || date_address_from ||address_type_code || date_address_to 15 || 1 ||1992-08-23 21:17:38 || Billing ||2018-02-28 20:54:58 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(15) NOT NULL, `shipping_method_code` VARCHAR(15) NOT NULL, `order_placed_datetime` DATETIME NOT NULL, `order_delivered_datetime` DATETIME, `order_shipping_charges` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code ||shipping_method_code ||order_placed_datetime ||order_delivered_datetime ||order_shipping_charges 1 || 2 || Cancelled || Unspecified || 2015-06-15 18:19:26 || 2018-03-20 12:00:00 || 85.79 */ CREATE TABLE `Mailshot_Customers` ( `mailshot_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `outcome_code` VARCHAR(15) NOT NULL, `mailshot_customer_date` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`mailshot_id` ) REFERENCES `Mailshot_Campaigns`(`mailshot_id` ) ) /* 1 example row: SELECT * FROM mailshot_customers LIMIT 1; mailshot_id ||customer_id ||outcome_code ||mailshot_customer_date 4 || 3 || Order || 2018-03-15 15:43:14 */ CREATE TABLE `Order_Items` ( `item_id` INTEGER NOT NULL , `order_item_status_code` VARCHAR(15) NOT NULL, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `item_status_code` VARCHAR(15), `item_delivered_datetime` DATETIME, `item_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; item_id ||order_item_status_code ||order_id ||product_id ||item_status_code ||item_delivered_datetime ||item_order_quantity 1 || Delivered || 10 || 13 || good || 2018-02-25 18:22:10 || 6 */ ### Question Show the outcome code of mailshots along with the number of mailshots in each outcome code.
[query_database(**{'query': 'SELECT outcome_code , count(*) FROM mailshot_customers GROUP BY outcome_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 `Premises` ( `premise_id` INTEGER PRIMARY KEY, `premises_type` VARCHAR(15) NOT NULL, `premise_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM premises LIMIT 1; premise_id ||premises_type || premise_details 1 || Warehouse ||036 Lueilwitz Harbor */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_category ||product_name 1 || Food || Coffee Bean */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(15) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `customer_address` VARCHAR(255), `customer_login` VARCHAR(80), `customer_password` VARCHAR(10) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email || customer_address ||customer_login ||customer_password 1 || Credit Card || Wendell ||(773)971-9411x759 ||[email protected] ||618 Webster Stream Apt. 161 || None || b4459ad261 */ CREATE TABLE `Mailshot_Campaigns` ( `mailshot_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15), `mailshot_name` VARCHAR(80), `mailshot_start_date` DATETIME, `mailshot_end_date` DATETIME ) /* 1 example row: SELECT * FROM mailshot_campaigns LIMIT 1; mailshot_id ||product_category ||mailshot_name ||mailshot_start_date || mailshot_end_date 1 || food || US ||2018-02-15 09:52:17 ||2018-03-08 14:40:20 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `premise_id` INTEGER NOT NULL, `date_address_from` DATETIME NOT NULL, `address_type_code` VARCHAR(15) NOT NULL, `date_address_to` DATETIME, FOREIGN KEY (`premise_id` ) REFERENCES `Premises`(`premise_id` ) FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||premise_id || date_address_from ||address_type_code || date_address_to 15 || 1 ||1992-08-23 21:17:38 || Billing ||2018-02-28 20:54:58 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(15) NOT NULL, `shipping_method_code` VARCHAR(15) NOT NULL, `order_placed_datetime` DATETIME NOT NULL, `order_delivered_datetime` DATETIME, `order_shipping_charges` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code ||shipping_method_code ||order_placed_datetime ||order_delivered_datetime ||order_shipping_charges 1 || 2 || Cancelled || Unspecified || 2015-06-15 18:19:26 || 2018-03-20 12:00:00 || 85.79 */ CREATE TABLE `Mailshot_Customers` ( `mailshot_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `outcome_code` VARCHAR(15) NOT NULL, `mailshot_customer_date` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`mailshot_id` ) REFERENCES `Mailshot_Campaigns`(`mailshot_id` ) ) /* 1 example row: SELECT * FROM mailshot_customers LIMIT 1; mailshot_id ||customer_id ||outcome_code ||mailshot_customer_date 4 || 3 || Order || 2018-03-15 15:43:14 */ CREATE TABLE `Order_Items` ( `item_id` INTEGER NOT NULL , `order_item_status_code` VARCHAR(15) NOT NULL, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `item_status_code` VARCHAR(15), `item_delivered_datetime` DATETIME, `item_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; item_id ||order_item_status_code ||order_id ||product_id ||item_status_code ||item_delivered_datetime ||item_order_quantity 1 || Delivered || 10 || 13 || good || 2018-02-25 18:22:10 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Premises` ( `premise_id` INTEGER PRIMARY KEY, `premises_type` VARCHAR(15) NOT NULL, `premise_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM premises LIMIT 1; premise_id ||premises_type || premise_details 1 || Warehouse ||036 Lueilwitz Harbor */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_category ||product_name 1 || Food || Coffee Bean */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(15) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `customer_address` VARCHAR(255), `customer_login` VARCHAR(80), `customer_password` VARCHAR(10) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email || customer_address ||customer_login ||customer_password 1 || Credit Card || Wendell ||(773)971-9411x759 ||[email protected] ||618 Webster Stream Apt. 161 || None || b4459ad261 */ CREATE TABLE `Mailshot_Campaigns` ( `mailshot_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15), `mailshot_name` VARCHAR(80), `mailshot_start_date` DATETIME, `mailshot_end_date` DATETIME ) /* 1 example row: SELECT * FROM mailshot_campaigns LIMIT 1; mailshot_id ||product_category ||mailshot_name ||mailshot_start_date || mailshot_end_date 1 || food || US ||2018-02-15 09:52:17 ||2018-03-08 14:40:20 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `premise_id` INTEGER NOT NULL, `date_address_from` DATETIME NOT NULL, `address_type_code` VARCHAR(15) NOT NULL, `date_address_to` DATETIME, FOREIGN KEY (`premise_id` ) REFERENCES `Premises`(`premise_id` ) FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||premise_id || date_address_from ||address_type_code || date_address_to 15 || 1 ||1992-08-23 21:17:38 || Billing ||2018-02-28 20:54:58 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(15) NOT NULL, `shipping_method_code` VARCHAR(15) NOT NULL, `order_placed_datetime` DATETIME NOT NULL, `order_delivered_datetime` DATETIME, `order_shipping_charges` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code ||shipping_method_code ||order_placed_datetime ||order_delivered_datetime ||order_shipping_charges 1 || 2 || Cancelled || Unspecified || 2015-06-15 18:19:26 || 2018-03-20 12:00:00 || 85.79 */ CREATE TABLE `Mailshot_Customers` ( `mailshot_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `outcome_code` VARCHAR(15) NOT NULL, `mailshot_customer_date` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`mailshot_id` ) REFERENCES `Mailshot_Campaigns`(`mailshot_id` ) ) /* 1 example row: SELECT * FROM mailshot_customers LIMIT 1; mailshot_id ||customer_id ||outcome_code ||mailshot_customer_date 4 || 3 || Order || 2018-03-15 15:43:14 */ CREATE TABLE `Order_Items` ( `item_id` INTEGER NOT NULL , `order_item_status_code` VARCHAR(15) NOT NULL, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `item_status_code` VARCHAR(15), `item_delivered_datetime` DATETIME, `item_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; item_id ||order_item_status_code ||order_id ||product_id ||item_status_code ||item_delivered_datetime ||item_order_quantity 1 || Delivered || 10 || 13 || good || 2018-02-25 18:22:10 || 6 */ ### Question Show the premise type and address type code for all customer addresses.
[query_database(**{'query': 'SELECT T2.premises_type , T1.address_type_code FROM customer_addresses AS T1 JOIN premises AS T2 ON T1.premise_id = T2.premise_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 `Premises` ( `premise_id` INTEGER PRIMARY KEY, `premises_type` VARCHAR(15) NOT NULL, `premise_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM premises LIMIT 1; premise_id ||premises_type || premise_details 1 || Warehouse ||036 Lueilwitz Harbor */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15) NOT NULL, `product_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_category ||product_name 1 || Food || Coffee Bean */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(15) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `customer_address` VARCHAR(255), `customer_login` VARCHAR(80), `customer_password` VARCHAR(10) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email || customer_address ||customer_login ||customer_password 1 || Credit Card || Wendell ||(773)971-9411x759 ||[email protected] ||618 Webster Stream Apt. 161 || None || b4459ad261 */ CREATE TABLE `Mailshot_Campaigns` ( `mailshot_id` INTEGER PRIMARY KEY, `product_category` VARCHAR(15), `mailshot_name` VARCHAR(80), `mailshot_start_date` DATETIME, `mailshot_end_date` DATETIME ) /* 1 example row: SELECT * FROM mailshot_campaigns LIMIT 1; mailshot_id ||product_category ||mailshot_name ||mailshot_start_date || mailshot_end_date 1 || food || US ||2018-02-15 09:52:17 ||2018-03-08 14:40:20 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `premise_id` INTEGER NOT NULL, `date_address_from` DATETIME NOT NULL, `address_type_code` VARCHAR(15) NOT NULL, `date_address_to` DATETIME, FOREIGN KEY (`premise_id` ) REFERENCES `Premises`(`premise_id` ) FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||premise_id || date_address_from ||address_type_code || date_address_to 15 || 1 ||1992-08-23 21:17:38 || Billing ||2018-02-28 20:54:58 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(15) NOT NULL, `shipping_method_code` VARCHAR(15) NOT NULL, `order_placed_datetime` DATETIME NOT NULL, `order_delivered_datetime` DATETIME, `order_shipping_charges` VARCHAR(255), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code ||shipping_method_code ||order_placed_datetime ||order_delivered_datetime ||order_shipping_charges 1 || 2 || Cancelled || Unspecified || 2015-06-15 18:19:26 || 2018-03-20 12:00:00 || 85.79 */ CREATE TABLE `Mailshot_Customers` ( `mailshot_id` INTEGER NOT NULL, `customer_id` INTEGER NOT NULL, `outcome_code` VARCHAR(15) NOT NULL, `mailshot_customer_date` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`mailshot_id` ) REFERENCES `Mailshot_Campaigns`(`mailshot_id` ) ) /* 1 example row: SELECT * FROM mailshot_customers LIMIT 1; mailshot_id ||customer_id ||outcome_code ||mailshot_customer_date 4 || 3 || Order || 2018-03-15 15:43:14 */ CREATE TABLE `Order_Items` ( `item_id` INTEGER NOT NULL , `order_item_status_code` VARCHAR(15) NOT NULL, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, `item_status_code` VARCHAR(15), `item_delivered_datetime` DATETIME, `item_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; item_id ||order_item_status_code ||order_id ||product_id ||item_status_code ||item_delivered_datetime ||item_order_quantity 1 || Delivered || 10 || 13 || good || 2018-02-25 18:22:10 || 6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question How many courses are there in total?
[query_database(**{'query': 'SELECT count(*) FROM COURSE'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,639
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question List all names of courses with 1 credit?
[query_database(**{'query': 'SELECT CName FROM COURSE WHERE Credits = 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,642
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What are the course names for courses taught on MTW?
[query_database(**{'query': 'SELECT CName FROM COURSE WHERE Days = "MTW"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Give the phones for departments in room 268.
[query_database(**{'query': 'SELECT DPhone FROM DEPARTMENT WHERE Room = 268'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,649
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the max and min grade point for all letter grade.
[query_database(**{'query': 'SELECT max(gradepoint) , min(gradepoint) FROM GRADECONVERSION'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,653
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the first names and last names of male (sex is M) faculties who live in building NEB.
[query_database(**{'query': 'SELECT Fname , Lname FROM FACULTY WHERE sex = "M" AND Building = "NEB"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,657
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the department name that is in Building "Mergenthaler".
[query_database(**{'query': 'SELECT DName FROM DEPARTMENT WHERE Building = "Mergenthaler"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,661
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question List the course name of courses sorted by credits.
[query_database(**{'query': 'SELECT CName FROM COURSE ORDER BY Credits'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,665
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the last name of female (sex is F) students in the descending order of age.
[query_database(**{'query': 'SELECT LName FROM STUDENT WHERE Sex = "F" ORDER BY Age 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 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the first names of faculties of rank Professor in alphabetic order.
[query_database(**{'query': 'SELECT Fname FROM FACULTY WHERE Rank = "Professor" ORDER BY Fname'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,673
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the name of the department that has no students minored in?
[query_database(**{'query': 'SELECT DName FROM DEPARTMENT EXCEPT SELECT T1.DName FROM DEPARTMENT AS T1 JOIN MINOR_IN AS T2 ON T1.DNO = T2.DNO'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,677
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the rank of the faculty that the fewest faculties belong to.
[query_database(**{'query': 'SELECT Rank FROM FACULTY GROUP BY Rank 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 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,681
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Which building does the instructor who teaches the most number of courses live in?
[query_database(**{'query': 'SELECT T2.Building FROM COURSE AS T1 JOIN FACULTY AS T2 ON T1.Instructor = T2.FacID GROUP BY T1.Instructor 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,685
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the first name and last name of the instructor of course that has course name
[query_database(**{'query': 'SELECT T2.Fname , T2.Lname FROM COURSE AS T1 JOIN FACULTY AS T2 ON T1.Instructor = T2.FacID WHERE T1.CName = "COMPUTER LITERACY"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the student first and last names and grade points of all enrollments.
[query_database(**{'query': 'SELECT T3.Fname , T3.LName , T2.gradepoint FROM ENROLLED_IN AS T1 JOIN GRADECONVERSION AS T2 JOIN STUDENT AS T3 ON T1.Grade = T2.lettergrade AND T1.StuID = T3.StuID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,695
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What are the first names and last names of the students that minor in the department with DNO 140.
[query_database(**{'query': 'SELECT T2.Fname , T2.Lname FROM MINOR_IN AS T1 JOIN STUDENT AS T2 ON T1.StuID = T2.StuID WHERE T1.DNO = 140'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,700
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question What is the average gradepoint for students with the last name Smith?
[query_database(**{'query': 'SELECT avg(T2.gradepoint) FROM ENROLLED_IN AS T1 JOIN GRADECONVERSION AS T2 JOIN STUDENT AS T3 ON T1.Grade = T2.lettergrade AND T1.StuID = T3.StuID WHERE T3.LName = "Smith"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Give the maximum and minimum gradepoints for students living in NYC?
[query_database(**{'query': 'SELECT max(T2.gradepoint) , min(T2.gradepoint) FROM ENROLLED_IN AS T1 JOIN GRADECONVERSION AS T2 JOIN STUDENT AS T3 ON T1.Grade = T2.lettergrade AND T1.StuID = T3.StuID WHERE T3.city_code = "NYC"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
4,707
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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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */ ### Question Find the first name of students not enrolled in any course.
[query_database(**{'query': 'SELECT Fname FROM STUDENT WHERE StuID NOT IN (SELECT StuID FROM ENROLLED_IN)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Faculty ( FacID INTEGER PRIMARY KEY, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; FacID || Lname ||Fname || Rank ||Sex ||Phone ||Room ||Building 1082 ||Giuliano || Mark ||Instructor || M || 2424 || 224 || NEB */ CREATE TABLE Department ( DNO INTEGER PRIMARY KEY, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER ) /* 1 example row: SELECT * FROM department LIMIT 1; DNO ||Division || DName ||Room || Building ||DPhone 10 || AS ||History of Art || 268 ||Mergenthaler || 7117 */ CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15), FOREIGN KEY(FacID) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM member_of LIMIT 1; FacID ||DNO ||Appt_Type 7792 ||600 || Primary */ CREATE TABLE Course ( CID VARCHAR(7) PRIMARY KEY, CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER, FOREIGN KEY(Instructor) REFERENCES Faculty(FacID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM course LIMIT 1; CID || CName ||Credits ||Instructor ||Days ||Hours ||DNO 600.101 ||COMPUTER LITERACY || 3 || 6112 || MTW || 3 ||600 */ CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(DNO) REFERENCES Department(DNO) ) /* 1 example row: SELECT * FROM minor_in LIMIT 1; StuID ||DNO 1004 ||520 */ CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(CID) REFERENCES Course(CID), FOREIGN KEY(Grade) REFERENCES Gradeconversion(lettergrade) ) /* 1 example row: SELECT * FROM enrolled_in LIMIT 1; StuID || CID ||Grade 1001 ||550.681 || A- */ CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2) PRIMARY KEY, gradepoint FLOAT ) /* 1 example row: SELECT * FROM gradeconversion LIMIT 1; lettergrade ||gradepoint A+ || 4.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Give the ids of the three products purchased in the largest amounts.
[query_database(**{'query': 'SELECT product_id FROM product_suppliers ORDER BY total_amount_purchased DESC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Count the number of distinct product types.
[query_database(**{'query': 'SELECT count(DISTINCT product_type_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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Return the staff ids and genders for any staff with the title Department Manager.
[query_database(**{'query': 'SELECT T1.staff_id , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Department Manager"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What are the name, phone number and email address of the customer who made the largest number of orders?
[query_database(**{'query': 'SELECT T1.customer_name , T1.customer_phone , T1.customer_email FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question How many department stores does the store chain South have?
[query_database(**{'query': 'SELECT count(*) FROM department_stores AS T1 JOIN department_store_chain AS T2 ON T1.dept_store_chain_id = T2.dept_store_chain_id WHERE T2.dept_store_chain_name = "South"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Give me the product type, name and price for all the products supplied by supplier id 3.
[query_database(**{'query': 'SELECT T2.product_type_code , T2.product_name , T2.product_price FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Find the name and address of the customers who have both New and Pending orders.
[query_database(**{'query': 'SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "New" INTERSECT SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What is the id and name of the department store that has both marketing and managing department?
[query_database(**{'query': 'SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "marketing" INTERSECT SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "managing"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What is the id of the department with the least number of staff?
[query_database(**{'query': 'SELECT department_id FROM staff_department_assignments GROUP BY department_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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Find the product type whose average price is higher than the average price of all products.
[query_database(**{'query': 'SELECT product_type_code FROM products GROUP BY product_type_code HAVING avg(product_price) > (SELECT avg(product_price) 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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Return the names and ids of all products whose price is between 600 and 700.
[query_database(**{'query': 'SELECT product_name , product_id FROM products WHERE product_price BETWEEN 600 AND 700'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What is id of the staff who had a Staff Department Assignment earlier than any Clerical Staff?
[query_database(**{'query': 'SELECT staff_id FROM Staff_Department_Assignments WHERE date_assigned_to < (SELECT max(date_assigned_to) FROM Staff_Department_Assignments WHERE job_title_code = 'Clerical 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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Return the name and gender of the staff who was assigned in 2016.
[query_database(**{'query': 'SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.date_assigned_from LIKE "2016%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question List the name and phone number of all suppliers in the alphabetical order of their addresses.
[query_database(**{'query': 'SELECT T1.supplier_name , T1.supplier_phone FROM Suppliers AS T1 JOIN supplier_addresses AS T2 ON T1.supplier_id = T2.supplier_id JOIN addresses AS T3 ON T2.address_id = T3.address_id ORDER BY T3.address_details'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Return the ids of all products that were ordered more than three times or supplied more than 80000.
[query_database(**{'query': 'SELECT product_id FROM Order_Items GROUP BY product_id HAVING count(*) > 3 UNION SELECT product_id FROM Product_Suppliers GROUP BY product_id HAVING sum(total_amount_purchased) > 80000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Find the id of suppliers whose average amount purchased for each product is above 50000 or below 30000.
[query_database(**{'query': 'SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id HAVING avg(total_amount_purchased) > 50000 OR avg(total_amount_purchased) < 30000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question What is the largest and smallest customer codes?
[query_database(**{'query': 'SELECT max(customer_code) , min(customer_code) 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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question List the names and phone numbers of all the distinct suppliers who supply red jeans.
[query_database(**{'query': 'SELECT DISTINCT T1.supplier_name , T1.supplier_phone FROM suppliers AS T1 JOIN product_suppliers AS T2 ON T1.supplier_id = T2.supplier_id JOIN products AS T3 ON T2.product_id = T3.product_id WHERE T3.product_name = "red jeans"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question List the order id, customer id for orders in Cancelled status, ordered by their order dates.
[query_database(**{'query': 'SELECT order_id , customer_id FROM customer_orders WHERE order_status_code = "Cancelled" ORDER BY order_date'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Find the names of customers who have bought by at least three distinct products.
[query_database(**{'query': 'SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id JOIN order_items AS T3 ON T2.order_id = T3.order_id GROUP BY T1.customer_id HAVING COUNT (DISTINCT T3.product_id) >= 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Find the id and name of customers whose address contains WY state and do not use credit card for payment.
[query_database(**{'query': 'SELECT customer_id , customer_name FROM customers WHERE customer_address LIKE "%WY%" AND payment_method_code != "Credit Card"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */ ### Question Find the name of the most expensive hardware product.
[query_database(**{'query': 'SELECT product_name FROM products WHERE product_type_code = 'Hardware' 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 `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details 1 ||28481 Crist Circle East Burdettestad, IA 21232 */ CREATE TABLE `Staff` ( `staff_id` INTEGER PRIMARY KEY, `staff_gender` VARCHAR(1), `staff_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM staff LIMIT 1; staff_id ||staff_gender ||staff_name 1 || 1 || Tom */ CREATE TABLE `Suppliers` ( `supplier_id` INTEGER PRIMARY KEY, `supplier_name` VARCHAR(80), `supplier_phone` VARCHAR(80) ) /* 1 example row: SELECT * FROM suppliers LIMIT 1; supplier_id ||supplier_name ||supplier_phone 1 || Lidl || (692)009-5928 */ CREATE TABLE `Department_Store_Chain` ( `dept_store_chain_id` INTEGER PRIMARY KEY, `dept_store_chain_name` VARCHAR(80) ) /* 1 example row: SELECT * FROM department_store_chain LIMIT 1; dept_store_chain_id ||dept_store_chain_name 1 || South */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method_code` VARCHAR(10) NOT NULL, `customer_code` 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_code ||customer_name || customer_address || customer_phone || customer_email 1 || Credit Card || 401 || Ahmed ||75099 Tremblay Port Apt. 163 South Norrisland, SC 80546 ||254-072-4068x33935 ||[email protected] */ CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_type_code` VARCHAR(10) NOT NULL, `product_name` VARCHAR(80), `product_price` DECIMAL(19,4) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_type_code ||product_name ||product_price 1 || Clothes || red jeans || 734.73 */ CREATE TABLE `Supplier_Addresses` ( `supplier_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`supplier_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ) ) /* 1 example row: SELECT * FROM supplier_addresses LIMIT 1; supplier_id ||address_id || date_from || date_to 4 || 5 ||2016-09-22 16:41:31 ||2018-03-14 20:06:37 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `date_to` DATETIME, PRIMARY KEY (`customer_id`, `address_id`), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from || date_to 2 || 9 ||2017-12-11 05:00:22 ||2018-03-20 20:52:34 */ CREATE TABLE `Customer_Orders` ( `order_id` INTEGER PRIMARY KEY, `customer_id` INTEGER NOT NULL, `order_status_code` VARCHAR(10) NOT NULL, `order_date` DATETIME NOT NULL, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM customer_orders LIMIT 1; order_id ||customer_id ||order_status_code || order_date 1 || 12 || Completed ||2018-02-10 15:44:48 */ CREATE TABLE `Department_Stores` ( `dept_store_id` INTEGER PRIMARY KEY, `dept_store_chain_id` INTEGER, `store_name` VARCHAR(80), `store_address` VARCHAR(255), `store_phone` VARCHAR(80), `store_email` VARCHAR(80), FOREIGN KEY (`dept_store_chain_id` ) REFERENCES `Department_Store_Chain`(`dept_store_chain_id` ) ) /* 1 example row: SELECT * FROM department_stores LIMIT 1; dept_store_id ||dept_store_chain_id ||store_name || store_address || store_phone || store_email 1 || 1 ||store_name ||01290 Jeremie Parkway Suite 753 North Arielle, MS 51249 ||(948)944-5099x2027 ||[email protected] */ CREATE TABLE `Departments` ( `department_id` INTEGER PRIMARY KEY, `dept_store_id` INTEGER NOT NULL, `department_name` VARCHAR(80), FOREIGN KEY (`dept_store_id` ) REFERENCES `Department_Stores`(`dept_store_id` ) ) /* 1 example row: SELECT * FROM departments LIMIT 1; department_id ||dept_store_id ||department_name 1 || 5 || human resource */ CREATE TABLE `Order_Items` ( `order_item_id` INTEGER PRIMARY KEY, `order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`order_id` ) REFERENCES `Customer_Orders`(`order_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM order_items LIMIT 1; order_item_id ||order_id ||product_id 1 || 9 || 7 */ CREATE TABLE `Product_Suppliers` ( `product_id` INTEGER NOT NULL, `supplier_id` INTEGER NOT NULL, `date_supplied_from` DATETIME NOT NULL, `date_supplied_to` DATETIME, `total_amount_purchased` VARCHAR(80), `total_value_purchased` DECIMAL(19,4), PRIMARY KEY (`product_id`, `supplier_id`), FOREIGN KEY (`supplier_id` ) REFERENCES `Suppliers`(`supplier_id` ), FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ) ) /* 1 example row: SELECT * FROM product_suppliers LIMIT 1; product_id ||supplier_id || date_supplied_from || date_supplied_to ||total_amount_purchased ||total_value_purchased 4 || 3 ||2017-06-19 00:49:05 ||2018-03-24 19:29:18 || 89366.05 || 36014.6 */ CREATE TABLE `Staff_Department_Assignments` ( `staff_id` INTEGER NOT NULL, `department_id` INTEGER NOT NULL, `date_assigned_from` DATETIME NOT NULL, `job_title_code` VARCHAR(10) NOT NULL, `date_assigned_to` DATETIME, PRIMARY KEY (`staff_id`, `department_id`), FOREIGN KEY (`department_id` ) REFERENCES `Departments`(`department_id` ), FOREIGN KEY (`staff_id` ) REFERENCES `Staff`(`staff_id` ) ) /* 1 example row: SELECT * FROM staff_department_assignments LIMIT 1; staff_id ||department_id || date_assigned_from || job_title_code || date_assigned_to 5 || 4 ||2017-06-11 22:55:20 ||Department Manager ||2018-03-23 21:59:11 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What is the number of aircraft?
[query_database(**{'query': 'SELECT count(*) FROM aircraft'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,800
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What are the descriptions for the aircrafts?
[query_database(**{'query': 'SELECT Description FROM aircraft'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question How many international and domestic passengers are there in the airport London Heathrow?
[query_database(**{'query': 'SELECT International_Passengers , Domestic_Passengers FROM airport WHERE Airport_Name = "London Heathrow"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,808
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What is the maximum and mininum number of transit passengers for all airports?
[query_database(**{'query': 'SELECT max(Transit_Passengers) , min(Transit_Passengers) FROM airport'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,812
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What are the names of the pilots in alphabetical order?
[query_database(**{'query': 'SELECT Name FROM pilot ORDER BY Name ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,816
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What are the names of all the aircrafts associated with London Gatwick airport?
[query_database(**{'query': 'SELECT T1.Aircraft FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T3.Airport_Name = "London Gatwick"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,821
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question Please list the location and the winning aircraft name.
[query_database(**{'query': 'SELECT T2.Location , T1.Aircraft FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question List the names of aircrafts and the number of times it won matches.
[query_database(**{'query': 'SELECT T1.Aircraft , COUNT(*) FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,830
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What are the names of all aircrafts that have won a match at least twice?
[query_database(**{'query': 'SELECT T1.Aircraft FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft 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 `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,834
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What are the names of all aircrafts that are associated with both London Heathrow and Gatwick airports?
[query_database(**{'query': 'SELECT T1.Aircraft FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T3.Airport_Name = "London Heathrow" INTERSECT SELECT T1.Aircraft FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN airport AS T3 ON T2.Airport_ID = T3.Airport_ID WHERE T3.Airport_Name = "London Gatwick"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,838
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What is the name and age of the pilot younger than 30 who has won the most number of times?
[query_database(**{'query': 'SELECT t1.name , t1.age FROM pilot AS t1 JOIN MATCH AS t2 ON t1.pilot_id = t2.winning_pilot WHERE t1.age < 30 GROUP BY t2.winning_pilot 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 `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,842
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */ ### Question What are the names of the pilots that have not won any matches in Australia?
[query_database(**{'query': 'SELECT name FROM pilot WHERE pilot_id NOT IN (SELECT Winning_Pilot FROM MATCH 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 `pilot` ( `Pilot_Id` int(11) NOT NULL, `Name` varchar(50) NOT NULL, `Age` int(11) NOT NULL, PRIMARY KEY (`Pilot_Id`) ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_Id || Name ||Age 1 ||Prof. Zackery Collins || 23 */ CREATE TABLE `aircraft` ( "Aircraft_ID" int(11) NOT NULL, "Aircraft" varchar(50) NOT NULL, "Description" varchar(50) NOT NULL, "Max_Gross_Weight" varchar(50) NOT NULL, "Total_disk_area" varchar(50) NOT NULL, "Max_disk_Loading" varchar(50) NOT NULL, PRIMARY KEY (`Aircraft_ID`) ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID || Aircraft || Description || Max_Gross_Weight || Total_disk_area || Max_disk_Loading 1 ||Robinson R-22 ||Light utility helicopter ||1,370 lb (635 kg) ||497 ft² (46.2 m²) ||2.6 lb/ft² (14 kg/m²) */ CREATE TABLE `match` ( "Round" real, "Location" text, "Country" text, "Date" text, "Fastest_Qualifying" text, "Winning_Pilot" text, "Winning_Aircraft" text, PRIMARY KEY ("Round"), FOREIGN KEY (`Winning_Aircraft`) REFERENCES `aircraft`(`Aircraft_ID`), FOREIGN KEY (`Winning_Pilot`) REFERENCES `pilot`(`Pilot_Id`) ) /* 1 example row: SELECT * FROM match LIMIT 1; Round || Location || Country || Date ||Fastest_Qualifying ||Winning_Pilot ||Winning_Aircraft 1.0 ||Mina' Zayid , Abu Dhabi ||United Arab Emirates ||March 26–27 || Hannes Arch || 1 || 1 */ CREATE TABLE `airport` ( "Airport_ID" int, "Airport_Name" text, "Total_Passengers" real, "%_Change_2007" text, "International_Passengers" real, "Domestic_Passengers" real, "Transit_Passengers" real, "Aircraft_Movements" real, "Freight_Metric_Tonnes" real, PRIMARY KEY ("Airport_ID") ) /* 1 example row: SELECT * FROM airport LIMIT 1; Airport_ID || Airport_Name ||Total_Passengers ||%_Change_2007 ||International_Passengers ||Domestic_Passengers ||Transit_Passengers ||Aircraft_Movements ||Freight_Metric_Tonnes 1 ||London Heathrow || 67054745.0 || 1.5% || 61344438.0 || 5562516.0 || 147791.0 || 478693.0 || 1397054.0 */ CREATE TABLE `airport_aircraft` ( "ID" int, "Airport_ID" int, "Aircraft_ID" int, PRIMARY KEY ("Airport_ID","Aircraft_ID"), FOREIGN KEY ("Airport_ID") REFERENCES `airport`(`Airport_ID`), FOREIGN KEY ("Aircraft_ID") REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM airport_aircraft LIMIT 1; ID ||Airport_ID ||Aircraft_ID 1 || 6 || 5 */
4,846
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */ ### Question What is the maximum number that a certain service is provided? List the service id, details and number.
[query_database(**{'query': 'SELECT T1.service_id , T1.service_details , count(*) FROM Services AS T1 JOIN Residents_Services AS T2 ON T1.service_id = T2.service_id GROUP BY T1.service_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 Customers ( customer_id INTEGER NOT NULL, customer_details VARCHAR(255), PRIMARY KEY (customer_id) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id || customer_details 4 ||Mr. Raul Prosacco */ CREATE TABLE Properties ( property_id INTEGER NOT NULL, property_type_code CHAR(15) NOT NULL, property_address VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (property_id) ) /* 1 example row: SELECT * FROM properties LIMIT 1; property_id ||property_type_code || property_address ||other_details 24 || apartment ||85456 Annie Lodge Suite 449 || USA */ CREATE TABLE Residents ( resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, date_moved_out DATETIME NOT NULL, other_details VARCHAR(255), PRIMARY KEY (resident_id, property_id, date_moved_in), FOREIGN KEY (property_id) REFERENCES Properties (property_id) ) /* 1 example row: SELECT * FROM residents LIMIT 1; resident_id ||property_id || date_moved_in || date_moved_out ||other_details 6 || 954 ||2017-06-17 15:43:33 ||2017-12-18 03:46:04 ||Anderson Batz */ CREATE TABLE Organizations ( organization_id INTEGER NOT NULL, parent_organization_id INTEGER, organization_details VARCHAR(255), PRIMARY KEY (organization_id) ) /* 1 example row: SELECT * FROM organizations LIMIT 1; organization_id ||parent_organization_id || organization_details 7 || 7 ||Reinger, Hudson and Nolan Group */ CREATE TABLE Services ( service_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (service_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM services LIMIT 1; service_id ||organization_id ||service_type_code ||service_details 10 || 10 || Cleanning || Satisfied */ CREATE TABLE Residents_Services ( resident_id INTEGER NOT NULL, service_id INTEGER NOT NULL, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255), PRIMARY KEY (resident_id, service_id), FOREIGN KEY (service_id) REFERENCES Services (service_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM residents_services LIMIT 1; resident_id ||service_id || date_moved_in ||property_id || date_requested || date_provided ||other_details 6 || 49 ||2017-06-17 15:43:33 || 954 ||2016-07-25 01:32:23 ||2018-02-26 00:27:11 || Satisfied */ CREATE TABLE Things ( thing_id INTEGER NOT NULL, organization_id INTEGER NOT NULL, Type_of_Thing_Code CHAR(15) NOT NULL, service_type_code CHAR(10) NOT NULL, service_details VARCHAR(255), PRIMARY KEY (thing_id), FOREIGN KEY (organization_id) REFERENCES Organizations (organization_id) ) /* 1 example row: SELECT * FROM things LIMIT 1; thing_id ||organization_id ||Type_of_Thing_Code ||service_type_code ||service_details 1 || 8 || Electronics || Check || Unsatisfied */ CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER NOT NULL, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER NOT NULL, PRIMARY KEY (Customer_Event_ID), FOREIGN KEY (thing_id) REFERENCES Things (thing_id), FOREIGN KEY (customer_id) REFERENCES Customers (customer_id), FOREIGN KEY (resident_id, property_id, date_moved_in) REFERENCES Residents (resident_id,property_id,date_moved_in) ) /* 1 example row: SELECT * FROM customer_events LIMIT 1; Customer_Event_ID ||customer_id || date_moved_in ||property_id ||resident_id ||thing_id 70 || 19 ||2015-03-27 12:00:00 || 605 || 10 || 1 */ CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER NOT NULL, Customer_Event_ID INTEGER NOT NULL, service_type_code CHAR(15) NOT NULL, resident_id INTEGER NOT NULL, property_id INTEGER NOT NULL, date_moved_in DATETIME NOT NULL, PRIMARY KEY (Customer_Event_Note_ID), FOREIGN KEY (Customer_Event_ID) REFERENCES Customer_Events (Customer_Event_ID) ) /* 1 example row: SELECT * FROM customer_event_notes LIMIT 1; Customer_Event_Note_ID ||Customer_Event_ID ||service_type_code ||resident_id ||property_id || date_moved_in 18 || 70 || Cleanning || 58 || 107 ||2016-08-04 01:06:05 */ CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER NOT NULL, Date_and_Date DATETIME NOT NULL, Status_of_Thing_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Date, Status_of_Thing_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id) ) /* 1 example row: SELECT * FROM timed_status_of_things LIMIT 1; thing_id || Date_and_Date ||Status_of_Thing_Code 2 ||2016-05-27 23:33:34 || Open */ CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER NOT NULL, Date_and_Time DATETIME NOT NULL, Location_Code CHAR(15) NOT NULL, PRIMARY KEY (thing_id, Date_and_Time, Location_Code), FOREIGN KEY (thing_id) REFERENCES Things (thing_id)) /* 1 example row: SELECT * FROM timed_locations_of_things LIMIT 1; thing_id || Date_and_Time || Location_Code 2 ||2016-10-12 12:03:07 ||064 Charles Mou */