Datasets:
truongpdd
/
BIRD_for_augment_sql2question

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question Return the names of musicals who have the nominee Bob Fosse.
[query_database(**{'query': 'SELECT Name FROM musical WHERE Nominee = "Bob Fosse"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question Show names of actors that have appeared in musical with name "The Phantom of the Opera".
[query_database(**{'query': 'SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID WHERE T2.Name = "The Phantom of the Opera"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
255
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question What are the names of actors ordered descending by the year in which their musical was awarded?
[query_database(**{'query': 'SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID ORDER BY T2.Year 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 "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
260
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question Show different nominees and the number of musicals they have been nominated.
[query_database(**{'query': 'SELECT Nominee , COUNT(*) FROM musical GROUP BY Nominee'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
262
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question Please show the nominee who has been nominated the greatest number of times.
[query_database(**{'query': 'SELECT Nominee FROM musical GROUP BY Nominee 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 "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
266
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question List the nominees that have been nominated more than two musicals.
[query_database(**{'query': 'SELECT Nominee FROM musical GROUP BY Nominee 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 "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
270
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */ ### Question Show the nominees that have nominated musicals for both "Tony Award" and "Drama Desk Award".
[query_database(**{'query': 'SELECT Nominee FROM musical WHERE Award = "Tony Award" INTERSECT SELECT Nominee FROM musical WHERE Award = "Drama Desk Award"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "musical" ( "Musical_ID" int, "Name" text, "Year" int, "Award" text, "Category" text, "Nominee" text, "Result" text, PRIMARY KEY ("Musical_ID") ) /* 1 example row: SELECT * FROM musical LIMIT 1; Musical_ID || Name ||Year || Award || Category || Nominee || Result 1 ||The Phantom of the Opera ||1986 ||Tony Award ||Best Book of a Musical ||Bob Fosse ||Nominated */ CREATE TABLE "actor" ( "Actor_ID" int, "Name" text, "Musical_ID" int, "Character" text, "Duration" text, "age" int, PRIMARY KEY ("Actor_ID"), FOREIGN KEY ("Musical_ID") REFERENCES "actor"("Actor_ID") ) /* 1 example row: SELECT * FROM actor LIMIT 1; Actor_ID || Name ||Musical_ID || Character ||Duration ||age 1 ||Ray Meagher || 1 ||Alf Stewart || 1988— || 26 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */ ### Question Find the emails of the user named "Mary".
[query_database(**{'query': 'SELECT email FROM user_profiles WHERE name = 'Mary''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */ ### Question Find the number of followers for each user.
[query_database(**{'query': 'SELECT count(*) FROM follows GROUP BY f1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */ ### Question Find the names of users whose emails contain ‘superstar’ or ‘edu’.
[query_database(**{'query': 'SELECT name FROM user_profiles WHERE email LIKE '%superstar%' OR email LIKE '%edu%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */ ### Question Find the name and email for the users who have more than one follower.
[query_database(**{'query': 'SELECT T1.name , T1.email FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 GROUP BY T2.f1 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 `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */ ### Question Find the id of users who are followed by Mary or Susan.
[query_database(**{'query': 'SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Mary" OR T1.name = "Susan"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */
295
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */ ### Question Find the name of each user and number of tweets tweeted by each of them.
[query_database(**{'query': 'SELECT T1.name , count(*) FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */
298
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */ ### Question Find the average number of followers for the users who do not have any tweet.
[query_database(**{'query': 'SELECT avg(followers) FROM user_profiles WHERE UID NOT IN (SELECT UID FROM tweets)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `follows` ( `f1` int(11) NOT NULL, `f2` int(11) NOT NULL, PRIMARY KEY (`f1`,`f2`), FOREIGN KEY (`f1`) REFERENCES `user_profiles`(`uid`), FOREIGN KEY (`f2`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM follows LIMIT 1; f1 ||f2 1 || 2 */ CREATE TABLE `tweets` ( `id` bigint(20) NOT NULL, `uid` int(11) NOT NULL, `text` char(140) NOT NULL, `createdate` datetime DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), FOREIGN KEY (`uid`) REFERENCES `user_profiles`(`uid`) ) /* 1 example row: SELECT * FROM tweets LIMIT 1; id ||uid || text || createdate 1 || 1 ||Hello I'm Tony Stark. ||2018-03-09 20:00:14 */ CREATE TABLE "user_profiles" (`uid` int(11) NOT NULL, `name` varchar(255) DEFAULT NULL, `email` varchar(255) DEFAULT NULL, `partitionid` int(11) DEFAULT NULL, `followers` int(11) DEFAULT NULL, PRIMARY KEY (`uid`)) /* 1 example row: SELECT * FROM user_profiles LIMIT 1; uid || name || email ||partitionid ||followers 1 ||Iron Man ||[email protected] || 1 || 6662425 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Find the names of all the catalog entries.
[query_database(**{'query': 'SELECT distinct(catalog_entry_name) FROM catalog_contents'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
305
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question What is the attribute data type of the attribute with name "Green"?
[query_database(**{'query': 'SELECT attribute_data_type FROM Attribute_Definitions WHERE attribute_name = "Green"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
309
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Find all the catalog publishers whose name contains "Murray"
[query_database(**{'query': 'SELECT distinct(catalog_publisher) FROM catalogs WHERE catalog_publisher LIKE "%Murray%"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
313
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Find the names and publication dates of all catalogs that have catalog level number greater than 5.
[query_database(**{'query': 'SELECT t1.catalog_name , t1.date_of_publication FROM catalogs AS t1 JOIN catalog_structure AS t2 ON t1.catalog_id = t2.catalog_id WHERE catalog_level_number > 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 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 `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question What is the entry name of the most expensive catalog (in USD)?
[query_database(**{'query': 'SELECT catalog_entry_name FROM catalog_contents ORDER BY price_in_dollars 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 `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
321
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question What are the average and minimum price (in Euro) of all products?
[query_database(**{'query': 'SELECT avg(price_in_euros) , min(price_in_euros) FROM catalog_contents'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
325
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Find the name of the product that has the smallest capacity.
[query_database(**{'query': 'SELECT catalog_entry_name FROM catalog_contents ORDER BY capacity 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 `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
329
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Find the names of catalog entries with level number 8.
[query_database(**{'query': 'SELECT t1.catalog_entry_name FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.catalog_level_number = "8"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 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 `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Find the name and attribute ID of the attribute definitions with attribute value 0.
[query_database(**{'query': 'SELECT t1.attribute_name , t1.attribute_id FROM Attribute_Definitions AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.attribute_id = t2.attribute_id WHERE t2.attribute_value = 0'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
337
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Find the dates on which more than one revisions were made.
[query_database(**{'query': 'SELECT date_of_latest_revision FROM Catalogs GROUP BY date_of_latest_revision 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 `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
341
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */ ### Question Name all the products with next entry ID greater than 8.
[query_database(**{'query': 'SELECT catalog_entry_name FROM catalog_contents WHERE next_entry_id > 8'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Attribute_Definitions` ( `attribute_id` INTEGER PRIMARY KEY, `attribute_name` VARCHAR(30), `attribute_data_type` VARCHAR(10) ) /* 1 example row: SELECT * FROM attribute_definitions LIMIT 1; attribute_id ||attribute_name ||attribute_data_type 1 || Green || Bool */ CREATE TABLE `Catalogs` ( `catalog_id` INTEGER PRIMARY KEY, `catalog_name` VARCHAR(50), `catalog_publisher` VARCHAR(80), `date_of_publication` DATETIME, `date_of_latest_revision` DATETIME ) /* 1 example row: SELECT * FROM catalogs LIMIT 1; catalog_id ||catalog_name || catalog_publisher ||date_of_publication ||date_of_latest_revision 1 || Chocolate ||Koepp-Rutherford handmade chocolate store ||2013-03-15 05:09:17 || 2017-09-26 12:10:36 */ CREATE TABLE `Catalog_Structure` ( `catalog_level_number` INTEGER PRIMARY KEY, `catalog_id` INTEGER NOT NULL, `catalog_level_name` VARCHAR(50), FOREIGN KEY (`catalog_id` ) REFERENCES `Catalogs`(`catalog_id` ) ) /* 1 example row: SELECT * FROM catalog_structure LIMIT 1; catalog_level_number ||catalog_id ||catalog_level_name 1 || 1 || Category */ CREATE TABLE `Catalog_Contents` ( `catalog_entry_id` INTEGER PRIMARY KEY, `catalog_level_number` INTEGER NOT NULL, `parent_entry_id` INTEGER, `previous_entry_id` INTEGER, `next_entry_id` INTEGER, `catalog_entry_name` VARCHAR(80), `product_stock_number` VARCHAR(50), `price_in_dollars` DOUBLE NULL, `price_in_euros` DOUBLE NULL, `price_in_pounds` DOUBLE NULL, `capacity` VARCHAR(20), `length` VARCHAR(20), `height` VARCHAR(20), `width` VARCHAR(20), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents LIMIT 1; catalog_entry_id ||catalog_level_number ||parent_entry_id ||previous_entry_id ||next_entry_id ||catalog_entry_name ||product_stock_number ||price_in_dollars ||price_in_euros ||price_in_pounds ||capacity ||length ||height ||width 1 || 1 || 5 || 9 || 7 || Cola || 89 cp || 200.78 || 159.84 || 172.17 || 1 || 3 || 9 || 5 */ CREATE TABLE `Catalog_Contents_Additional_Attributes` ( `catalog_entry_id` INTEGER NOT NULL, `catalog_level_number` INTEGER NOT NULL, `attribute_id` INTEGER NOT NULL, `attribute_value` VARCHAR(255) NOT NULL, FOREIGN KEY (`catalog_entry_id` ) REFERENCES `Catalog_Contents`(`catalog_entry_id` ), FOREIGN KEY (`catalog_level_number` ) REFERENCES `Catalog_Structure`(`catalog_level_number` ) ) /* 1 example row: SELECT * FROM catalog_contents_additional_attributes LIMIT 1; catalog_entry_id ||catalog_level_number ||attribute_id ||attribute_value 5 || 8 || 4 || 1 */
345
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Show name and distance for all aircrafts.
[query_database(**{'query': 'SELECT name , distance 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
349
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question How many aircrafts have distance between 1000 and 5000?
[query_database(**{'query': 'SELECT count(*) FROM Aircraft WHERE distance BETWEEN 1000 AND 5000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
353
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is the minimum, average, and maximum distance of all aircrafts.
[query_database(**{'query': 'SELECT min(distance) , avg(distance) , max(distance) 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
357
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Show the name of aircrafts with top three lowest distances.
[query_database(**{'query': 'SELECT name FROM Aircraft ORDER BY distance 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
361
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question How many employees do we have?
[query_database(**{'query': 'SELECT count(*) FROM Employee'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
365
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Show ids for all employees with at least 100000 salary.
[query_database(**{'query': 'SELECT eid FROM Employee WHERE salary > 100000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
369
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is the name and salary for employee with id 242518965?
[query_database(**{'query': 'SELECT name , salary FROM Employee WHERE eid = 242518965'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
373
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Show the id and name of the employee with maximum salary.
[query_database(**{'query': 'SELECT eid , name FROM Employee ORDER BY salary 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
377
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Show names for all employees with salary more than the average.
[query_database(**{'query': 'SELECT name FROM Employee WHERE salary > (SELECT avg(salary) FROM Employee)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
381
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question How many flights do we have?
[query_database(**{'query': 'SELECT count(*) FROM Flight'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
385
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Show all flight number from Los Angeles.
[query_database(**{'query': 'SELECT flno FROM Flight WHERE origin = "Los Angeles"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
392
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What are the numbers of all flights that can cover a distance of more than 2000?
[query_database(**{'query': 'SELECT flno FROM Flight WHERE distance > 2000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
396
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is the origin and destination for all flights whose price is higher than 300?
[query_database(**{'query': 'SELECT origin , destination FROM Flight WHERE price > 300'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
400
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What are the numbers of the shortest flights?
[query_database(**{'query': 'SELECT flno FROM Flight ORDER BY distance ASC 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
404
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question For each origin, how many flights came from there?
[query_database(**{'query': 'SELECT origin , count(*) FROM Flight GROUP BY origin'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
408
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What place has the most flights coming from there?
[query_database(**{'query': 'SELECT origin FROM Flight GROUP BY origin 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
411
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is the aircraft name for the flight with number 99
[query_database(**{'query': 'SELECT T2.name FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid WHERE T1.flno = 99'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
415
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question Show aircraft names and number of flights for each aircraft.
[query_database(**{'query': 'SELECT T2.name , count(*) FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
420
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is the count of distinct employees with certificates?
[query_database(**{'query': 'SELECT count(DISTINCT eid) FROM Certificate'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
424
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What are the names of all aircrafts that John Williams have certificates to be able to fly?
[query_database(**{'query': 'SELECT T3.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T1.name = "John Williams"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
428
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What are the names of all employees who can fly both the Boeing 737-800 and the Airbus A340-300?
[query_database(**{'query': 'SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.name = "Boeing 737-800" INTERSECT SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.name = "Airbus A340-300"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
432
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What are the names of the aircraft that the least people are certified to fly?
[query_database(**{'query': 'SELECT T2.name FROM Certificate AS T1 JOIN Aircraft AS T2 ON T2.aid = T1.aid GROUP BY T1.aid 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
436
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */ ### Question What is the salaray and name of the employee that is certified to fly the most planes?
[query_database(**{'query': 'SELECT T1.name , T1.salary FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid GROUP BY T1.eid 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 flight( flno number(4,0) primary key, origin varchar2(20), destination varchar2(20), distance number(6,0), departure_date date, arrival_date date, price number(7,2), aid number(9,0), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM flight LIMIT 1; flno || origin || destination ||distance || departure_date || arrival_date || price ||aid 99 ||Los Angeles ||Washington D.C. || 2308 ||04/12/2005 09:30 ||04/12/2005 09:40 ||235.98 || 1 */ CREATE TABLE aircraft( aid number(9,0) primary key, name varchar2(30), distance number(6,0)) /* 1 example row: SELECT * FROM aircraft LIMIT 1; aid || name ||distance 1 ||Boeing 747-400 || 8430 */ CREATE TABLE employee( eid number(9,0) primary key, name varchar2(30), salary number(10,2)) /* 1 example row: SELECT * FROM employee LIMIT 1; eid || name ||salary 242518965 ||James Smith ||120433 */ CREATE TABLE certificate( eid number(9,0), aid number(9,0), primary key(eid,aid), foreign key("eid") references `employee`("eid"), foreign key("aid") references `aircraft`("aid")) /* 1 example row: SELECT * FROM certificate LIMIT 1; eid ||aid 11564812 || 2 */
439
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question How many allergies are there?
[query_database(**{'query': 'SELECT count(DISTINCT allergy) FROM Allergy_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 Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question Show all allergy types.
[query_database(**{'query': 'SELECT DISTINCT allergytype FROM Allergy_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 Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
448
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question What are all the different food allergies?
[query_database(**{'query': 'SELECT DISTINCT allergy FROM Allergy_type WHERE allergytype = "food"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
451
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question How many allergies have type animal?
[query_database(**{'query': 'SELECT count(*) FROM Allergy_type WHERE allergytype = "animal"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
454
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question What are the allergy types and how many allergies correspond to each one?
[query_database(**{'query': 'SELECT allergytype , count(*) FROM Allergy_type GROUP BY allergytype'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
459
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question How many students are there?
[query_database(**{'query': 'SELECT count(*) FROM Student'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
461
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question Show first name and last name for all students.
[query_database(**{'query': 'SELECT Fname , Lname FROM Student'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
465
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question Show all majors.
[query_database(**{'query': 'SELECT DISTINCT Major FROM Student'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
469
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question Show first name, last name, age for all female students. Their sex is F.
[query_database(**{'query': 'SELECT Fname , Lname , Age FROM Student WHERE Sex = 'F''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
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 Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question How many students are age 18?
[query_database(**{'query': 'SELECT count(*) FROM Student WHERE age = 18'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
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 Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question Which city does the student whose last name is "Kim" live in?
[query_database(**{'query': 'SELECT city_code FROM Student WHERE LName = "Kim"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
483
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question Show the minimum, average, and maximum age of all students.
[query_database(**{'query': 'SELECT min(age) , avg(age) , max(age) FROM Student'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
488
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question What student id corresponds to the oldest student?
[query_database(**{'query': 'SELECT StuID FROM Student WHERE age = (SELECT max(age) FROM Student)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question Which major has most number of students?
[query_database(**{'query': 'SELECT major FROM Student GROUP BY major ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question Show the average age for male and female students.
[query_database(**{'query': 'SELECT avg(age) , sex FROM Student GROUP BY sex'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
499
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question Show all advisors and corresponding number of students.
[query_database(**{'query': 'SELECT advisor , count(*) FROM Student GROUP BY advisor'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
504
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question How many students are affected by cat allergies?
[query_database(**{'query': 'SELECT count(*) FROM Has_allergy WHERE Allergy = "Cat"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
507
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question What are the student ids of students who don't have any allergies?
[query_database(**{'query': 'SELECT StuID FROM Student EXCEPT SELECT StuID FROM Has_allergy'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question How many students have a food allergy?
[query_database(**{'query': 'SELECT count(*) FROM Has_allergy AS T1 JOIN Allergy_type AS T2 ON T1.allergy = T2.allergy WHERE T2.allergytype = "food"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question Which allergy is the most common?
[query_database(**{'query': 'SELECT Allergy FROM Has_allergy GROUP BY Allergy 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 Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question How many students are affected by each allergy type?
[query_database(**{'query': 'SELECT T2.allergytype , count(*) FROM Has_allergy AS T1 JOIN Allergy_type AS T2 ON T1.allergy = T2.allergy GROUP BY T2.allergytype'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question What are the allergies and their types that the student with first name Lisa has? And order the result by name of allergies.
[query_database(**{'query': 'SELECT T1.Allergy , T1.AllergyType FROM Allergy_type AS T1 JOIN Has_allergy AS T2 ON T1.Allergy = T2.Allergy JOIN Student AS T3 ON T3.StuID = T2.StuID WHERE T3.Fname = "Lisa" ORDER BY T1.Allergy'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question List the first and last name of the students who do not have any food type allergy.
[query_database(**{'query': 'SELECT fname , lname FROM Student WHERE StuID NOT IN (SELECT T1.StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food")'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
530
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question How many male students (sex is 'M') are allergic to any type of food?
[query_database(**{'query': 'SELECT count(*) FROM Student WHERE sex = "M" AND StuID IN (SELECT StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food")'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */ ### Question Find the number of students who are older than 18 and do not have allergy to either food or animal.
[query_database(**{'query': 'SELECT count(*) FROM Student WHERE age > 18 AND StuID NOT IN ( SELECT StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food" OR T2.allergytype = "animal")'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Allergy_Type ( Allergy VARCHAR(20) PRIMARY KEY, AllergyType VARCHAR(20) ) /* 1 example row: SELECT * FROM allergy_type LIMIT 1; Allergy ||AllergyType Eggs || food */ CREATE TABLE Has_Allergy ( StuID INTEGER, Allergy VARCHAR(20), FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(Allergy) REFERENCES Allergy_Type(Allergy) ) /* 1 example row: SELECT * FROM has_allergy LIMIT 1; StuID ||Allergy 1001 || Cat */ 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 */
539
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question A list of the top 8 countries by gross/total invoice size. List country name and gross invoice size.
[query_database(**{'query': 'SELECT billing_country , SUM(total) FROM invoices GROUP BY billing_country ORDER BY SUM(total) DESC LIMIT 8;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
542
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What are the names of the countries and average invoice size of the top countries by size?
[query_database(**{'query': 'SELECT billing_country , AVG(total) FROM invoices GROUP BY billing_country ORDER BY AVG(total) DESC LIMIT 10;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question Find out the top 10 customers by total number of orders. List customers' first and last name and the number of total orders.
[query_database(**{'query': 'SELECT T1.first_name , T1.last_name , COUNT(*) FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id GROUP BY T1.id ORDER BY COUNT(*) DESC LIMIT 10;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
549
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question List the top 5 genres by number of tracks. List genres name and total tracks.
[query_database(**{'query': 'SELECT T1.name , COUNT(*) FROM genres AS T1 JOIN tracks AS T2 ON T2.genre_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 5;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
553
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question List every album ordered by album title in ascending order.
[query_database(**{'query': 'SELECT title FROM albums ORDER BY title;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What are the first and last names of the customers with the 10 cheapest invoices?
[query_database(**{'query': 'SELECT T1.first_name , T1.last_name FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id ORDER BY total LIMIT 10;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
563
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7, 1272, 8, 220, 4276, 1808, 345, 262, 1566, 1292, 38689, 7, 508, 8, 220, 4276, 1808, 345, 262, 2883, 38689, 7, 1490, 1350, 262, 2686, 38689, 7, 2031, 1350, 262, 3363, 38689, 7, 1272, 1350, 262, 1614, 38689, 7, 1272, 1350, 262, 3224, 38689, 7, 1272, 1350, 262, 40854, 4229, 38689, 7, 605, 1350, 262, 4641, 38689, 7, 1187, 1350, 262, 49719, 38689, 7, 1187, 1350, 262, 2613, 38689, 7, 1399, 8, 220, 4276, 1808, 345, 262, 1862, 26614, 851, 31481, 345, 262, 82456, 12282, 320, 24249, 26614, 851, 8, 79756, 8420, 320, 307, 340, 262, 6328, 17640, 5782, 16439, 6328, 23743, 5782, 16439, 198, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 6444, 10592, 220, 16, 26, 4815, 887, 1393, 3983, 1292, 1393, 4354, 1292, 1393, 13137, 2883, 1393, 667, 2686, 1393, 2342, 3363, 1393, 2513, 1393, 11389, 1393, 34270, 4229, 1393, 1835, 4641, 1393, 2342, 49719, 1393, 2342, 2613, 1393, 24249, 26614, 851, 720, 220, 16, 1393, 415, 18866, 24315, 1393, 38, 263, 3209, 278, 2396, 1393, 2321, 14720, 261, 482, 84773, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question List the number of invoices from the US, grouped by state.
[query_database(**{'query': 'SELECT billing_state , COUNT(*) FROM invoices WHERE billing_country = "USA" GROUP BY billing_state;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What is the number of invoices and total money billed in them from CA?
[query_database(**{'query': 'SELECT billing_state , COUNT(*) , SUM(total) FROM invoices WHERE billing_state = "CA";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
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 artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question How many albums has Billy Cobam released?
[query_database(**{'query': 'SELECT count(*) FROM albums AS T1 JOIN artists AS T2 ON T1.artist_id = T2.id WHERE T2.name = "Billy Cobham";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
575
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What is Astrid Gruber's email and phone number?
[query_database(**{'query': 'SELECT email , phone FROM customers WHERE first_name = "Astrid" AND last_name = "Gruber";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
580
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question How many customers are from California?
[query_database(**{'query': 'SELECT count(*) FROM customers WHERE state = "CA";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
582
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question In which country does Roberto Almeida?
[query_database(**{'query': 'SELECT country FROM customers WHERE first_name = "Roberto" AND last_name = "Almeida";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What is the count of customers that Steve Johnson supports?
[query_database(**{'query': 'SELECT count(*) FROM employees AS T1 JOIN customers AS T2 ON T2.support_rep_id = T1.id WHERE T1.first_name = "Steve" AND T1.last_name = "Johnson";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
592
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What is Nancy Edwards's address?
[query_database(**{'query': 'SELECT address FROM employees WHERE first_name = "Nancy" AND last_name = "Edwards";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question How many employees are living in Canada?
[query_database(**{'query': 'SELECT count(*) FROM employees WHERE country = "Canada";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
598
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What is the the phone number of Nancy Edwards?
[query_database(**{'query': 'SELECT phone FROM employees WHERE first_name = "Nancy" AND last_name = "Edwards";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What are the first and last names of the top 10 longest-serving employees?
[query_database(**{'query': 'SELECT first_name , last_name FROM employees ORDER BY hire_date ASC LIMIT 10;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
606
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What are the first and last names of all the employees and how many people report to them?
[query_database(**{'query': 'SELECT T2.first_name , T2.last_name , count(T1.reports_to) FROM employees AS T1 JOIN employees AS T2 ON T1.reports_to = T2.id GROUP BY T1.reports_to ORDER BY count(T1.reports_to) 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 artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
610
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question How much money did Lucas Mancini spend?
[query_database(**{'query': 'SELECT sum(T2.total) FROM customers AS T1 JOIN invoices AS T2 ON T1.id = T2.customer_id WHERE T1.first_name = "Lucas" AND T1.last_name = "Mancini";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
616
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What are the names of all the playlists?
[query_database(**{'query': 'SELECT name FROM playlists;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
620
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question How many milliseconds long is Fast As a Shark?
[query_database(**{'query': 'SELECT milliseconds FROM tracks WHERE name = "Fast As a Shark";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
624
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What is the name of the album that has the track Ball to the Wall?
[query_database(**{'query': 'SELECT T1.title FROM albums AS T1 JOIN tracks AS T2 ON T1.id = T2.genre_id WHERE T2.name = "Balls to the Wall";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
628
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What are the names of the albums that have more than 10 tracks?
[query_database(**{'query': 'SELECT T1.title FROM albums AS T1 JOIN tracks AS T2 ON T1.id = T2.album_id GROUP BY T1.id HAVING count(T1.id) > 10;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What are the names of all tracks that belong to the Rock genre and whose media type is MPEG?
[query_database(**{'query': 'SELECT T2.name FROM genres AS T1 JOIN tracks AS T2 ON T1.id = T2.genre_id JOIN media_types AS T3 ON T3.id = T2.media_type_id WHERE T1.name = "Rock" OR T3.name = "MPEG audio file";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
636
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What are the names of all tracks that are on playlists titled Movies?
[query_database(**{'query': 'SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T3.id = T2.playlist_id WHERE T3.name = "Movies";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
640
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What are the tracks that Dean Peeters bought?
[query_database(**{'query': 'SELECT T1.name FROM tracks AS T1 JOIN invoice_lines AS T2 ON T1.id = T2.track_id JOIN invoices AS T3 ON T3.id = T2.invoice_id JOIN customers AS T4 ON T4.id = T3.customer_id WHERE T4.first_name = "Daan" AND T4.last_name = "Peeters";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */ ### Question What are the names of all tracks that are on the Movies playlist but not in the music playlist?
[query_database(**{'query': 'SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T2.playlist_id = T3.id WHERE T3.name = 'Movies' EXCEPT SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T2.playlist_id = T3.id WHERE T3.name = 'Music''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE artists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM artists LIMIT 1; id || name 1 ||AC/DC */ CREATE TABLE albums ( id INTEGER PRIMARY KEY AUTOINCREMENT, title VARCHAR(160) NOT NULL, artist_id INTEGER NOT NULL, FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM albums LIMIT 1; id || title ||artist_id 1 ||For Those About To Rock We Salute You || 1 */ CREATE TABLE employees ( id INTEGER PRIMARY KEY AUTOINCREMENT, last_name VARCHAR(20) NOT NULL, first_name VARCHAR(20) NOT NULL, title VARCHAR(30), reports_to INTEGER, birth_date TIMESTAMP, hire_date TIMESTAMP, address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60), FOREIGN KEY (reports_to) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM employees LIMIT 1; id ||last_name ||first_name || title ||reports_to || birth_date || hire_date || address || city ||state ||country ||postal_code || phone || fax || email 1 || Adams || Andrew ||General Manager || None ||1962-02-18 00:00:00 ||2002-08-14 00:00:00 ||11120 Jasper Ave NW ||Edmonton || AB || Canada || T5K 2N1 ||+1 (780) 428-9482 ||+1 (780) 428-3457 ||[email protected] */ CREATE TABLE customers ( id INTEGER PRIMARY KEY AUTOINCREMENT, first_name VARCHAR(40) NOT NULL, last_name VARCHAR(20) NOT NULL, company VARCHAR(80), address VARCHAR(70), city VARCHAR(40), state VARCHAR(40), country VARCHAR(40), postal_code VARCHAR(10), phone VARCHAR(24), fax VARCHAR(24), email VARCHAR(60) NOT NULL, support_rep_id INTEGER, FOREIGN KEY (support_rep_id) REFERENCES employees (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM customers LIMIT 1; id ||first_name ||last_name || company || address || city ||state ||country ||postal_code || phone || fax || email ||support_rep_id 1 || Luís ||Gonçalves ||Embraer - Empresa Brasileira de Aeronáutica S.A. ||Av. Brigadeiro Faria Lima, 2170 ||São José dos Campos || SP || Brazil || 12227-000 ||+55 (12) 3923-5555 ||+55 (12) 3923-5566 ||[email protected] || 3 */ CREATE TABLE genres ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM genres LIMIT 1; id ||name 1 ||Rock */ CREATE TABLE invoices ( id INTEGER PRIMARY KEY AUTOINCREMENT, customer_id INTEGER NOT NULL, invoice_date TIMESTAMP NOT NULL, billing_address VARCHAR(70), billing_city VARCHAR(40), billing_state VARCHAR(40), billing_country VARCHAR(40), billing_postal_code VARCHAR(10), total NUMERIC(10,2) NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoices LIMIT 1; id ||customer_id || invoice_date || billing_address ||billing_city ||billing_state ||billing_country ||billing_postal_code ||total 1 || 2 ||2007-01-01 00:00:00 ||Theodor-Heuss-Straße 34 || Stuttgart || None || Germany || 70174 || 1.98 */ CREATE TABLE media_types ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM media_types LIMIT 1; id || name 1 ||MPEG audio file */ CREATE TABLE tracks ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(200) NOT NULL, album_id INTEGER, media_type_id INTEGER NOT NULL, genre_id INTEGER, composer VARCHAR(220), milliseconds INTEGER NOT NULL, bytes INTEGER, unit_price NUMERIC(10,2) NOT NULL, FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (genre_id) REFERENCES genres (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (media_type_id) REFERENCES media_types (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM tracks LIMIT 1; id || name ||album_id ||media_type_id ||genre_id || composer ||milliseconds || bytes ||unit_price 1 ||For Those About To Rock (We Salute You) || 1 || 1 || 1 ||Angus Young, Malcolm Young, Brian Johnson || 343719 ||11170334 || 0.99 */ CREATE TABLE invoice_lines ( id INTEGER PRIMARY KEY AUTOINCREMENT, invoice_id INTEGER NOT NULL, track_id INTEGER NOT NULL, unit_price NUMERIC(10,2) NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (invoice_id) REFERENCES invoices (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM invoice_lines LIMIT 1; id ||invoice_id ||track_id ||unit_price ||quantity 1 || 1 || 2 || 0.99 || 1 */ CREATE TABLE playlists ( id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(120) ) /* 1 example row: SELECT * FROM playlists LIMIT 1; id || name 1 ||Music */ CREATE TABLE playlist_tracks ( playlist_id INTEGER NOT NULL, track_id INTEGER NOT NULL, CONSTRAINT PK_PlaylistTrack PRIMARY KEY (playlist_id, track_id), FOREIGN KEY (playlist_id) REFERENCES playlists (id) ON DELETE NO ACTION ON UPDATE NO ACTION, FOREIGN KEY (track_id) REFERENCES tracks (id) ON DELETE NO ACTION ON UPDATE NO ACTION ) /* 1 example row: SELECT * FROM playlist_tracks LIMIT 1; playlist_id ||track_id 1 || 3402 */