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truongpdd
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BIRD_for_augment_sql2question

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What is the reviewer id of Daniel Lewis?
[query_database(**{'query': 'SELECT rID FROM Reviewer WHERE name = "Daniel Lewis"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What is the lowest and highest rating star?
[query_database(**{'query': 'SELECT max(stars) , min(stars) FROM Rating'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the names of directors who directed movies with 5 star rating? Also return the title of these movies.
[query_database(**{'query': 'SELECT T1.director , T1.title FROM Movie AS T1 JOIN Rating AS T2 ON T1.mID = T2.mID WHERE T2.stars = 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question Find the titles of all movies that have no ratings.
[query_database(**{'query': 'SELECT title FROM Movie WHERE mID NOT IN (SELECT mID FROM Rating)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
2,462
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What is the average rating stars and title for the oldest movie?
[query_database(**{'query': 'SELECT avg(T1.stars) , T2.title FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T2.year = (SELECT min(YEAR) FROM Movie)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What is the maximum stars and year for the most recent movie?
[query_database(**{'query': 'SELECT max(T1.stars) , T2.year FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T2.year = (SELECT max(YEAR) FROM Movie)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the titles and directors of the movies whose star is greater than the average stars of the movies directed by James Cameron?
[query_database(**{'query': 'SELECT T2.title , T2.director FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T1.stars > (SELECT avg(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T2.director = "James Cameron")'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question Find the names of all reviewers who have contributed three or more ratings.
[query_database(**{'query': 'SELECT T2.name FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID GROUP BY T1.rID HAVING COUNT(*) >= 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question Find the names of all directors whose movies are rated by Sarah Martinez.
[query_database(**{'query': 'SELECT DISTINCT T2.director FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID JOIN Reviewer AS T3 ON T1.rID = T3.rID WHERE T3.name = 'Sarah Martinez''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question Return all reviewer names and movie names together in a single list.
[query_database(**{'query': 'SELECT name FROM Reviewer UNION SELECT title FROM Movie'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
2,486
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question For all directors who directed more than one movie, return the titles of all movies directed by them, along with the director name. Sort by director name, then movie title.
[query_database(**{'query': 'SELECT T1.title , T1.director FROM Movie AS T1 JOIN Movie AS T2 ON T1.director = T2.director WHERE T1.title != T2.title ORDER BY T1.director , T1.title'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the names of all directors who have made one movie except for the director named NULL?
[query_database(**{'query': 'SELECT director FROM Movie WHERE director != "null" GROUP BY director HAVING count(*) = 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the movie titles with the highest average rating and what are those ratings?
[query_database(**{'query': 'SELECT T2.title , avg(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T1.mID ORDER BY avg(T1.stars) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the names and years released for the movies with the top 3 highest ratings?
[query_database(**{'query': 'SELECT T2.title , T2.year FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID ORDER BY T1.stars DESC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question For each reviewer id, what is the title and rating for the movie with the smallest rating?
[query_database(**{'query': 'SELECT T2.title , T1.rID , T1.stars , min(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T1.rID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What is the name of the movie that has been reviewed the most?
[query_database(**{'query': 'SELECT T2.title , T1.mID FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T1.mID ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the names of the reviewers who have rated a movie more than 3 stars before?
[query_database(**{'query': 'SELECT T2.name FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID WHERE T1.stars > 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the ids of all moviest hat have not been reviewed by Britanny Harris?
[query_database(**{'query': 'SELECT mID FROM Rating EXCEPT SELECT T1.mID FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID WHERE T2.name = "Brittany Harris"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the ids of all reviewers who did not give 4 stars?
[query_database(**{'query': 'SELECT rID FROM Rating EXCEPT SELECT rID FROM Rating WHERE stars = 4'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the names of all movies that were made after 2000 or reviewed by Brittany Harris?
[query_database(**{'query': 'SELECT DISTINCT T2.title FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID JOIN Reviewer AS T3 ON T1.rID = T3.rID WHERE T3.name = 'Brittany Harris' OR T2.year > 2000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the names of all reviewers that have given 3 or 4 stars for reviews?
[query_database(**{'query': 'SELECT T2.name FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID WHERE T1.stars = 3 INTERSECT SELECT T2.name FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID WHERE T1.stars = 4'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question How many counties are there?
[query_database(**{'query': 'SELECT count(*) FROM county_public_safety'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question What are the different police forces of counties that are not located in the East?
[query_database(**{'query': 'SELECT DISTINCT Police_force FROM county_public_safety WHERE LOCATION != "East"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question What are the crime rates of counties sorted by number of offices ascending?
[query_database(**{'query': 'SELECT Crime_rate FROM county_public_safety ORDER BY Police_officers ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question Return the hispanic percentage for cities in which the black percentage is greater than 10.
[query_database(**{'query': 'SELECT Hispanic FROM city WHERE Black > 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question What are the names of the five cities with the greatest proportion of white people?
[query_database(**{'query': 'SELECT Name FROM city ORDER BY White DESC LIMIT 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question What are the white percentages of cities, and the corresponding crime rates of the counties they correspond to?
[query_database(**{'query': 'SELECT T1.White , T2.Crime_rate FROM city AS T1 JOIN county_public_safety AS T2 ON T1.County_ID = T2.County_ID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question How many cities are in counties that have populations of over 20000?
[query_database(**{'query': 'SELECT count(*) FROM city WHERE county_ID IN (SELECT county_ID FROM county_public_safety WHERE population > 20000)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question How many counties correspond to each police force?
[query_database(**{'query': 'SELECT Police_force , COUNT(*) FROM county_public_safety GROUP BY Police_force'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question What are the names of counties that do not contain any cities?
[query_database(**{'query': 'SELECT Name FROM county_public_safety WHERE County_ID NOT IN (SELECT County_ID FROM city)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question What are the names of cities that are in counties that have a crime rate below 100?
[query_database(**{'query': 'SELECT name FROM city WHERE county_id IN (SELECT county_id FROM county_public_safety WHERE Crime_rate < 100)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the names of all modern rooms with a base price below $160 and two beds.
[query_database(**{'query': 'SELECT roomName FROM Rooms WHERE basePrice < 160 AND beds = 2 AND decor = 'modern';'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the most popular room in the hotel. The most popular room is the room that had seen the largest number of reservations.
[query_database(**{'query': 'SELECT T2.roomName FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId GROUP BY T1.Room ORDER BY count(*) DESC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question How many times does ROY SWEAZY has reserved a room.
[query_database(**{'query': 'SELECT count(*) FROM Reservations WHERE FirstName = "ROY" AND LastName = "SWEAZY";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question How many adults stay in the room CONRAD SELBIG checked in on Oct 23, 2010?
[query_database(**{'query': 'SELECT Adults FROM Reservations WHERE CheckIn = "2010-10-23" AND FirstName = "CONRAD" AND LastName = "SELBIG";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question How many king beds are there?
[query_database(**{'query': 'SELECT sum(beds) FROM Rooms WHERE bedtype = 'King';'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Which room has cheapest base price? List the room's name and the base price.
[query_database(**{'query': 'SELECT roomName , basePrice FROM Rooms ORDER BY basePrice ASC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question What is the average base price of different bed type? List bed type and average base price.
[query_database(**{'query': 'SELECT bedType , avg(basePrice) FROM Rooms GROUP BY bedType;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question What is the least popular kind of decor?
[query_database(**{'query': 'SELECT T2.decor FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId GROUP BY T2.decor ORDER BY count(T2.decor) ASC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question What are the first and last names of people who payed more than the rooms' base prices?
[query_database(**{'query': 'SELECT T1.firstname , T1.lastname FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId WHERE T1.Rate - T2.basePrice > 0'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question How many rooms have a king bed?
[query_database(**{'query': 'SELECT count(*) FROM Rooms WHERE bedType = "King";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the name of the room with the maximum occupancy.
[query_database(**{'query': 'SELECT roomName FROM Rooms ORDER BY maxOccupancy DESC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question List the type of bed and name of all traditional rooms.
[query_database(**{'query': 'SELECT roomName , bedType FROM Rooms WHERE decor = "traditional";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the average and minimum price of the rooms in different decor.
[query_database(**{'query': 'SELECT decor , avg(basePrice) , min(basePrice) FROM Rooms GROUP BY decor;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question For each bed type, find the average room price.
[query_database(**{'query': 'SELECT bedType , avg(basePrice) FROM Rooms GROUP BY bedType;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question List the name of rooms with king or queen bed.
[query_database(**{'query': 'SELECT roomName FROM Rooms WHERE bedType = "King" OR bedType = "Queen";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the name and id of the top 3 expensive rooms.
[query_database(**{'query': 'SELECT RoomId , roomName FROM Rooms ORDER BY basePrice DESC LIMIT 3;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question How many rooms have not had any reservation yet?
[query_database(**{'query': 'SELECT count(*) FROM rooms WHERE roomid NOT IN (SELECT DISTINCT room FROM reservations)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the name of rooms whose base price is between 120 and 150.
[query_database(**{'query': 'SELECT roomname FROM rooms WHERE baseprice BETWEEN 120 AND 150'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customer_Master_Index ( master_customer_id INTEGER NOT NULL, cmi_details VARCHAR(255), PRIMARY KEY (master_customer_id) ) /* 1 example row: SELECT * FROM customer_master_index LIMIT 1; master_customer_id || cmi_details 1 ||Schmitt-Lang */ CREATE TABLE CMI_Cross_References ( cmi_cross_ref_id INTEGER NOT NULL, master_customer_id INTEGER NOT NULL, source_system_code CHAR(15) NOT NULL, PRIMARY KEY (cmi_cross_ref_id), FOREIGN KEY (master_customer_id) REFERENCES Customer_Master_Index (master_customer_id) ) /* 1 example row: SELECT * FROM cmi_cross_references LIMIT 1; cmi_cross_ref_id ||master_customer_id ||source_system_code 2 || 4 || Rent */ CREATE TABLE Council_Tax ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM council_tax LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 101 */ CREATE TABLE Business_Rates ( business_rates_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (business_rates_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM business_rates LIMIT 1; business_rates_id ||cmi_cross_ref_id 2 || 99 */ CREATE TABLE Benefits_Overpayments ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM benefits_overpayments LIMIT 1; council_tax_id ||cmi_cross_ref_id 3 || 65 */ CREATE TABLE Parking_Fines ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM parking_fines LIMIT 1; council_tax_id ||cmi_cross_ref_id 9 || 4 */ CREATE TABLE Rent_Arrears ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM rent_arrears LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 100 */ CREATE TABLE Electoral_Register ( electoral_register_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (electoral_register_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM electoral_register LIMIT 1; electoral_register_id ||cmi_cross_ref_id 2 || 83 */ ### Question what are the details of the cmi masters that have the cross reference code 'Tax'?
[query_database(**{'query': 'SELECT T1.cmi_details FROM Customer_Master_Index AS T1 JOIN CMI_Cross_References AS T2 ON T1.master_customer_id = T2.master_customer_id WHERE T2.source_system_code = 'Tax''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customer_Master_Index ( master_customer_id INTEGER NOT NULL, cmi_details VARCHAR(255), PRIMARY KEY (master_customer_id) ) /* 1 example row: SELECT * FROM customer_master_index LIMIT 1; master_customer_id || cmi_details 1 ||Schmitt-Lang */ CREATE TABLE CMI_Cross_References ( cmi_cross_ref_id INTEGER NOT NULL, master_customer_id INTEGER NOT NULL, source_system_code CHAR(15) NOT NULL, PRIMARY KEY (cmi_cross_ref_id), FOREIGN KEY (master_customer_id) REFERENCES Customer_Master_Index (master_customer_id) ) /* 1 example row: SELECT * FROM cmi_cross_references LIMIT 1; cmi_cross_ref_id ||master_customer_id ||source_system_code 2 || 4 || Rent */ CREATE TABLE Council_Tax ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM council_tax LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 101 */ CREATE TABLE Business_Rates ( business_rates_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (business_rates_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM business_rates LIMIT 1; business_rates_id ||cmi_cross_ref_id 2 || 99 */ CREATE TABLE Benefits_Overpayments ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM benefits_overpayments LIMIT 1; council_tax_id ||cmi_cross_ref_id 3 || 65 */ CREATE TABLE Parking_Fines ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM parking_fines LIMIT 1; council_tax_id ||cmi_cross_ref_id 9 || 4 */ CREATE TABLE Rent_Arrears ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM rent_arrears LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 100 */ CREATE TABLE Electoral_Register ( electoral_register_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (electoral_register_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM electoral_register LIMIT 1; electoral_register_id ||cmi_cross_ref_id 2 || 83 */
2,651
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customer_Master_Index ( master_customer_id INTEGER NOT NULL, cmi_details VARCHAR(255), PRIMARY KEY (master_customer_id) ) /* 1 example row: SELECT * FROM customer_master_index LIMIT 1; master_customer_id || cmi_details 1 ||Schmitt-Lang */ CREATE TABLE CMI_Cross_References ( cmi_cross_ref_id INTEGER NOT NULL, master_customer_id INTEGER NOT NULL, source_system_code CHAR(15) NOT NULL, PRIMARY KEY (cmi_cross_ref_id), FOREIGN KEY (master_customer_id) REFERENCES Customer_Master_Index (master_customer_id) ) /* 1 example row: SELECT * FROM cmi_cross_references LIMIT 1; cmi_cross_ref_id ||master_customer_id ||source_system_code 2 || 4 || Rent */ CREATE TABLE Council_Tax ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM council_tax LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 101 */ CREATE TABLE Business_Rates ( business_rates_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (business_rates_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM business_rates LIMIT 1; business_rates_id ||cmi_cross_ref_id 2 || 99 */ CREATE TABLE Benefits_Overpayments ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM benefits_overpayments LIMIT 1; council_tax_id ||cmi_cross_ref_id 3 || 65 */ CREATE TABLE Parking_Fines ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM parking_fines LIMIT 1; council_tax_id ||cmi_cross_ref_id 9 || 4 */ CREATE TABLE Rent_Arrears ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM rent_arrears LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 100 */ CREATE TABLE Electoral_Register ( electoral_register_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (electoral_register_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM electoral_register LIMIT 1; electoral_register_id ||cmi_cross_ref_id 2 || 83 */ ### Question What are the renting arrears tax ids related to the customer master index whose detail is not 'Schmidt, Kertzmann and Lubowitz'?
[query_database(**{'query': 'SELECT T1.council_tax_id FROM Rent_Arrears AS T1 JOIN CMI_Cross_References AS T2 ON T1.cmi_cross_ref_id = T2.cmi_cross_ref_id JOIN Customer_Master_Index AS T3 ON T3.master_customer_id = T2.master_customer_id WHERE T3.cmi_details != 'Schmidt , Kertzmann and Lubowitz''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customer_Master_Index ( master_customer_id INTEGER NOT NULL, cmi_details VARCHAR(255), PRIMARY KEY (master_customer_id) ) /* 1 example row: SELECT * FROM customer_master_index LIMIT 1; master_customer_id || cmi_details 1 ||Schmitt-Lang */ CREATE TABLE CMI_Cross_References ( cmi_cross_ref_id INTEGER NOT NULL, master_customer_id INTEGER NOT NULL, source_system_code CHAR(15) NOT NULL, PRIMARY KEY (cmi_cross_ref_id), FOREIGN KEY (master_customer_id) REFERENCES Customer_Master_Index (master_customer_id) ) /* 1 example row: SELECT * FROM cmi_cross_references LIMIT 1; cmi_cross_ref_id ||master_customer_id ||source_system_code 2 || 4 || Rent */ CREATE TABLE Council_Tax ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM council_tax LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 101 */ CREATE TABLE Business_Rates ( business_rates_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (business_rates_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM business_rates LIMIT 1; business_rates_id ||cmi_cross_ref_id 2 || 99 */ CREATE TABLE Benefits_Overpayments ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM benefits_overpayments LIMIT 1; council_tax_id ||cmi_cross_ref_id 3 || 65 */ CREATE TABLE Parking_Fines ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM parking_fines LIMIT 1; council_tax_id ||cmi_cross_ref_id 9 || 4 */ CREATE TABLE Rent_Arrears ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM rent_arrears LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 100 */ CREATE TABLE Electoral_Register ( electoral_register_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (electoral_register_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM electoral_register LIMIT 1; electoral_register_id ||cmi_cross_ref_id 2 || 83 */
2,655
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customer_Master_Index ( master_customer_id INTEGER NOT NULL, cmi_details VARCHAR(255), PRIMARY KEY (master_customer_id) ) /* 1 example row: SELECT * FROM customer_master_index LIMIT 1; master_customer_id || cmi_details 1 ||Schmitt-Lang */ CREATE TABLE CMI_Cross_References ( cmi_cross_ref_id INTEGER NOT NULL, master_customer_id INTEGER NOT NULL, source_system_code CHAR(15) NOT NULL, PRIMARY KEY (cmi_cross_ref_id), FOREIGN KEY (master_customer_id) REFERENCES Customer_Master_Index (master_customer_id) ) /* 1 example row: SELECT * FROM cmi_cross_references LIMIT 1; cmi_cross_ref_id ||master_customer_id ||source_system_code 2 || 4 || Rent */ CREATE TABLE Council_Tax ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM council_tax LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 101 */ CREATE TABLE Business_Rates ( business_rates_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (business_rates_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM business_rates LIMIT 1; business_rates_id ||cmi_cross_ref_id 2 || 99 */ CREATE TABLE Benefits_Overpayments ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM benefits_overpayments LIMIT 1; council_tax_id ||cmi_cross_ref_id 3 || 65 */ CREATE TABLE Parking_Fines ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM parking_fines LIMIT 1; council_tax_id ||cmi_cross_ref_id 9 || 4 */ CREATE TABLE Rent_Arrears ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM rent_arrears LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 100 */ CREATE TABLE Electoral_Register ( electoral_register_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (electoral_register_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM electoral_register LIMIT 1; electoral_register_id ||cmi_cross_ref_id 2 || 83 */ ### Question List the council tax ids and their related cmi cross references of all the parking fines.
[query_database(**{'query': 'SELECT council_tax_id , cmi_cross_ref_id FROM parking_fines'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customer_Master_Index ( master_customer_id INTEGER NOT NULL, cmi_details VARCHAR(255), PRIMARY KEY (master_customer_id) ) /* 1 example row: SELECT * FROM customer_master_index LIMIT 1; master_customer_id || cmi_details 1 ||Schmitt-Lang */ CREATE TABLE CMI_Cross_References ( cmi_cross_ref_id INTEGER NOT NULL, master_customer_id INTEGER NOT NULL, source_system_code CHAR(15) NOT NULL, PRIMARY KEY (cmi_cross_ref_id), FOREIGN KEY (master_customer_id) REFERENCES Customer_Master_Index (master_customer_id) ) /* 1 example row: SELECT * FROM cmi_cross_references LIMIT 1; cmi_cross_ref_id ||master_customer_id ||source_system_code 2 || 4 || Rent */ CREATE TABLE Council_Tax ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM council_tax LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 101 */ CREATE TABLE Business_Rates ( business_rates_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (business_rates_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM business_rates LIMIT 1; business_rates_id ||cmi_cross_ref_id 2 || 99 */ CREATE TABLE Benefits_Overpayments ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM benefits_overpayments LIMIT 1; council_tax_id ||cmi_cross_ref_id 3 || 65 */ CREATE TABLE Parking_Fines ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM parking_fines LIMIT 1; council_tax_id ||cmi_cross_ref_id 9 || 4 */ CREATE TABLE Rent_Arrears ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM rent_arrears LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 100 */ CREATE TABLE Electoral_Register ( electoral_register_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (electoral_register_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM electoral_register LIMIT 1; electoral_register_id ||cmi_cross_ref_id 2 || 83 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customer_Master_Index ( master_customer_id INTEGER NOT NULL, cmi_details VARCHAR(255), PRIMARY KEY (master_customer_id) ) /* 1 example row: SELECT * FROM customer_master_index LIMIT 1; master_customer_id || cmi_details 1 ||Schmitt-Lang */ CREATE TABLE CMI_Cross_References ( cmi_cross_ref_id INTEGER NOT NULL, master_customer_id INTEGER NOT NULL, source_system_code CHAR(15) NOT NULL, PRIMARY KEY (cmi_cross_ref_id), FOREIGN KEY (master_customer_id) REFERENCES Customer_Master_Index (master_customer_id) ) /* 1 example row: SELECT * FROM cmi_cross_references LIMIT 1; cmi_cross_ref_id ||master_customer_id ||source_system_code 2 || 4 || Rent */ CREATE TABLE Council_Tax ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM council_tax LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 101 */ CREATE TABLE Business_Rates ( business_rates_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (business_rates_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM business_rates LIMIT 1; business_rates_id ||cmi_cross_ref_id 2 || 99 */ CREATE TABLE Benefits_Overpayments ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM benefits_overpayments LIMIT 1; council_tax_id ||cmi_cross_ref_id 3 || 65 */ CREATE TABLE Parking_Fines ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM parking_fines LIMIT 1; council_tax_id ||cmi_cross_ref_id 9 || 4 */ CREATE TABLE Rent_Arrears ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM rent_arrears LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 100 */ CREATE TABLE Electoral_Register ( electoral_register_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (electoral_register_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM electoral_register LIMIT 1; electoral_register_id ||cmi_cross_ref_id 2 || 83 */ ### Question Which distinct source system code includes the substring 'en'?
[query_database(**{'query': 'SELECT DISTINCT source_system_code FROM cmi_cross_references WHERE source_system_code LIKE '%en%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Customer_Master_Index ( master_customer_id INTEGER NOT NULL, cmi_details VARCHAR(255), PRIMARY KEY (master_customer_id) ) /* 1 example row: SELECT * FROM customer_master_index LIMIT 1; master_customer_id || cmi_details 1 ||Schmitt-Lang */ CREATE TABLE CMI_Cross_References ( cmi_cross_ref_id INTEGER NOT NULL, master_customer_id INTEGER NOT NULL, source_system_code CHAR(15) NOT NULL, PRIMARY KEY (cmi_cross_ref_id), FOREIGN KEY (master_customer_id) REFERENCES Customer_Master_Index (master_customer_id) ) /* 1 example row: SELECT * FROM cmi_cross_references LIMIT 1; cmi_cross_ref_id ||master_customer_id ||source_system_code 2 || 4 || Rent */ CREATE TABLE Council_Tax ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM council_tax LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 101 */ CREATE TABLE Business_Rates ( business_rates_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (business_rates_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM business_rates LIMIT 1; business_rates_id ||cmi_cross_ref_id 2 || 99 */ CREATE TABLE Benefits_Overpayments ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM benefits_overpayments LIMIT 1; council_tax_id ||cmi_cross_ref_id 3 || 65 */ CREATE TABLE Parking_Fines ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM parking_fines LIMIT 1; council_tax_id ||cmi_cross_ref_id 9 || 4 */ CREATE TABLE Rent_Arrears ( council_tax_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (council_tax_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM rent_arrears LIMIT 1; council_tax_id ||cmi_cross_ref_id 1 || 100 */ CREATE TABLE Electoral_Register ( electoral_register_id INTEGER NOT NULL, cmi_cross_ref_id INTEGER NOT NULL, PRIMARY KEY (electoral_register_id), FOREIGN KEY (cmi_cross_ref_id) REFERENCES CMI_Cross_References (cmi_cross_ref_id) ) /* 1 example row: SELECT * FROM electoral_register LIMIT 1; electoral_register_id ||cmi_cross_ref_id 2 || 83 */
2,664
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "party" ( "Party_ID" int, "Party_Theme" text, "Location" text, "First_year" text, "Last_year" text, "Number_of_hosts" int, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID ||Party_Theme || Location ||First_year ||Last_year ||Number_of_hosts 1 || Spring ||Hemkade 48 Zaandam || 2000 || 2001 || 5 */ CREATE TABLE "host" ( "Host_ID" int, "Name" text, "Nationality" text, "Age" text, PRIMARY KEY ("Host_ID") ) /* 1 example row: SELECT * FROM host LIMIT 1; Host_ID || Name || Nationality ||Age 1 ||Austin Daye ||United States || 43 */ CREATE TABLE "party_host" ( "Party_ID" int, "Host_ID" int, "Is_Main_in_Charge" bool, PRIMARY KEY ("Party_ID","Host_ID"), FOREIGN KEY ("Host_ID") REFERENCES `host`("Host_ID"), FOREIGN KEY ("Party_ID") REFERENCES `party`("Party_ID") ) /* 1 example row: SELECT * FROM party_host LIMIT 1; Party_ID ||Host_ID ||Is_Main_in_Charge 1 || 1 || T */ ### Question What are the themes and locations of parties?
[query_database(**{'query': 'SELECT Party_Theme , LOCATION FROM party'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "party" ( "Party_ID" int, "Party_Theme" text, "Location" text, "First_year" text, "Last_year" text, "Number_of_hosts" int, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID ||Party_Theme || Location ||First_year ||Last_year ||Number_of_hosts 1 || Spring ||Hemkade 48 Zaandam || 2000 || 2001 || 5 */ CREATE TABLE "host" ( "Host_ID" int, "Name" text, "Nationality" text, "Age" text, PRIMARY KEY ("Host_ID") ) /* 1 example row: SELECT * FROM host LIMIT 1; Host_ID || Name || Nationality ||Age 1 ||Austin Daye ||United States || 43 */ CREATE TABLE "party_host" ( "Party_ID" int, "Host_ID" int, "Is_Main_in_Charge" bool, PRIMARY KEY ("Party_ID","Host_ID"), FOREIGN KEY ("Host_ID") REFERENCES `host`("Host_ID"), FOREIGN KEY ("Party_ID") REFERENCES `party`("Party_ID") ) /* 1 example row: SELECT * FROM party_host LIMIT 1; Party_ID ||Host_ID ||Is_Main_in_Charge 1 || 1 || T */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "party" ( "Party_ID" int, "Party_Theme" text, "Location" text, "First_year" text, "Last_year" text, "Number_of_hosts" int, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID ||Party_Theme || Location ||First_year ||Last_year ||Number_of_hosts 1 || Spring ||Hemkade 48 Zaandam || 2000 || 2001 || 5 */ CREATE TABLE "host" ( "Host_ID" int, "Name" text, "Nationality" text, "Age" text, PRIMARY KEY ("Host_ID") ) /* 1 example row: SELECT * FROM host LIMIT 1; Host_ID || Name || Nationality ||Age 1 ||Austin Daye ||United States || 43 */ CREATE TABLE "party_host" ( "Party_ID" int, "Host_ID" int, "Is_Main_in_Charge" bool, PRIMARY KEY ("Party_ID","Host_ID"), FOREIGN KEY ("Host_ID") REFERENCES `host`("Host_ID"), FOREIGN KEY ("Party_ID") REFERENCES `party`("Party_ID") ) /* 1 example row: SELECT * FROM party_host LIMIT 1; Party_ID ||Host_ID ||Is_Main_in_Charge 1 || 1 || T */ ### Question What are the first year and last year of the parties whose theme is "Spring" or "Teqnology"?
[query_database(**{'query': 'SELECT First_year , Last_year FROM party WHERE Party_Theme = "Spring" OR Party_Theme = "Teqnology"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "party" ( "Party_ID" int, "Party_Theme" text, "Location" text, "First_year" text, "Last_year" text, "Number_of_hosts" int, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID ||Party_Theme || Location ||First_year ||Last_year ||Number_of_hosts 1 || Spring ||Hemkade 48 Zaandam || 2000 || 2001 || 5 */ CREATE TABLE "host" ( "Host_ID" int, "Name" text, "Nationality" text, "Age" text, PRIMARY KEY ("Host_ID") ) /* 1 example row: SELECT * FROM host LIMIT 1; Host_ID || Name || Nationality ||Age 1 ||Austin Daye ||United States || 43 */ CREATE TABLE "party_host" ( "Party_ID" int, "Host_ID" int, "Is_Main_in_Charge" bool, PRIMARY KEY ("Party_ID","Host_ID"), FOREIGN KEY ("Host_ID") REFERENCES `host`("Host_ID"), FOREIGN KEY ("Party_ID") REFERENCES `party`("Party_ID") ) /* 1 example row: SELECT * FROM party_host LIMIT 1; Party_ID ||Host_ID ||Is_Main_in_Charge 1 || 1 || T */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "party" ( "Party_ID" int, "Party_Theme" text, "Location" text, "First_year" text, "Last_year" text, "Number_of_hosts" int, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID ||Party_Theme || Location ||First_year ||Last_year ||Number_of_hosts 1 || Spring ||Hemkade 48 Zaandam || 2000 || 2001 || 5 */ CREATE TABLE "host" ( "Host_ID" int, "Name" text, "Nationality" text, "Age" text, PRIMARY KEY ("Host_ID") ) /* 1 example row: SELECT * FROM host LIMIT 1; Host_ID || Name || Nationality ||Age 1 ||Austin Daye ||United States || 43 */ CREATE TABLE "party_host" ( "Party_ID" int, "Host_ID" int, "Is_Main_in_Charge" bool, PRIMARY KEY ("Party_ID","Host_ID"), FOREIGN KEY ("Host_ID") REFERENCES `host`("Host_ID"), FOREIGN KEY ("Party_ID") REFERENCES `party`("Party_ID") ) /* 1 example row: SELECT * FROM party_host LIMIT 1; Party_ID ||Host_ID ||Is_Main_in_Charge 1 || 1 || T */ ### Question Show different nationalities along with the number of hosts of each nationality.
[query_database(**{'query': 'SELECT Nationality , COUNT(*) FROM HOST GROUP BY Nationality'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "party" ( "Party_ID" int, "Party_Theme" text, "Location" text, "First_year" text, "Last_year" text, "Number_of_hosts" int, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID ||Party_Theme || Location ||First_year ||Last_year ||Number_of_hosts 1 || Spring ||Hemkade 48 Zaandam || 2000 || 2001 || 5 */ CREATE TABLE "host" ( "Host_ID" int, "Name" text, "Nationality" text, "Age" text, PRIMARY KEY ("Host_ID") ) /* 1 example row: SELECT * FROM host LIMIT 1; Host_ID || Name || Nationality ||Age 1 ||Austin Daye ||United States || 43 */ CREATE TABLE "party_host" ( "Party_ID" int, "Host_ID" int, "Is_Main_in_Charge" bool, PRIMARY KEY ("Party_ID","Host_ID"), FOREIGN KEY ("Host_ID") REFERENCES `host`("Host_ID"), FOREIGN KEY ("Party_ID") REFERENCES `party`("Party_ID") ) /* 1 example row: SELECT * FROM party_host LIMIT 1; Party_ID ||Host_ID ||Is_Main_in_Charge 1 || 1 || T */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "party" ( "Party_ID" int, "Party_Theme" text, "Location" text, "First_year" text, "Last_year" text, "Number_of_hosts" int, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID ||Party_Theme || Location ||First_year ||Last_year ||Number_of_hosts 1 || Spring ||Hemkade 48 Zaandam || 2000 || 2001 || 5 */ CREATE TABLE "host" ( "Host_ID" int, "Name" text, "Nationality" text, "Age" text, PRIMARY KEY ("Host_ID") ) /* 1 example row: SELECT * FROM host LIMIT 1; Host_ID || Name || Nationality ||Age 1 ||Austin Daye ||United States || 43 */ CREATE TABLE "party_host" ( "Party_ID" int, "Host_ID" int, "Is_Main_in_Charge" bool, PRIMARY KEY ("Party_ID","Host_ID"), FOREIGN KEY ("Host_ID") REFERENCES `host`("Host_ID"), FOREIGN KEY ("Party_ID") REFERENCES `party`("Party_ID") ) /* 1 example row: SELECT * FROM party_host LIMIT 1; Party_ID ||Host_ID ||Is_Main_in_Charge 1 || 1 || T */ ### Question Which nations have both hosts of age above 45 and hosts of age below 35?
[query_database(**{'query': 'SELECT Nationality FROM HOST WHERE Age > 45 INTERSECT SELECT Nationality FROM HOST WHERE Age < 35'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "party" ( "Party_ID" int, "Party_Theme" text, "Location" text, "First_year" text, "Last_year" text, "Number_of_hosts" int, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID ||Party_Theme || Location ||First_year ||Last_year ||Number_of_hosts 1 || Spring ||Hemkade 48 Zaandam || 2000 || 2001 || 5 */ CREATE TABLE "host" ( "Host_ID" int, "Name" text, "Nationality" text, "Age" text, PRIMARY KEY ("Host_ID") ) /* 1 example row: SELECT * FROM host LIMIT 1; Host_ID || Name || Nationality ||Age 1 ||Austin Daye ||United States || 43 */ CREATE TABLE "party_host" ( "Party_ID" int, "Host_ID" int, "Is_Main_in_Charge" bool, PRIMARY KEY ("Party_ID","Host_ID"), FOREIGN KEY ("Host_ID") REFERENCES `host`("Host_ID"), FOREIGN KEY ("Party_ID") REFERENCES `party`("Party_ID") ) /* 1 example row: SELECT * FROM party_host LIMIT 1; Party_ID ||Host_ID ||Is_Main_in_Charge 1 || 1 || T */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "party" ( "Party_ID" int, "Party_Theme" text, "Location" text, "First_year" text, "Last_year" text, "Number_of_hosts" int, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID ||Party_Theme || Location ||First_year ||Last_year ||Number_of_hosts 1 || Spring ||Hemkade 48 Zaandam || 2000 || 2001 || 5 */ CREATE TABLE "host" ( "Host_ID" int, "Name" text, "Nationality" text, "Age" text, PRIMARY KEY ("Host_ID") ) /* 1 example row: SELECT * FROM host LIMIT 1; Host_ID || Name || Nationality ||Age 1 ||Austin Daye ||United States || 43 */ CREATE TABLE "party_host" ( "Party_ID" int, "Host_ID" int, "Is_Main_in_Charge" bool, PRIMARY KEY ("Party_ID","Host_ID"), FOREIGN KEY ("Host_ID") REFERENCES `host`("Host_ID"), FOREIGN KEY ("Party_ID") REFERENCES `party`("Party_ID") ) /* 1 example row: SELECT * FROM party_host LIMIT 1; Party_ID ||Host_ID ||Is_Main_in_Charge 1 || 1 || T */ ### Question Show the locations of parties and the names of the party hosts in ascending order of the age of the host.
[query_database(**{'query': 'SELECT T3.Location , T2.Name FROM party_host AS T1 JOIN HOST AS T2 ON T1.Host_ID = T2.Host_ID JOIN party AS T3 ON T1.Party_ID = T3.Party_ID ORDER BY T2.Age'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "party" ( "Party_ID" int, "Party_Theme" text, "Location" text, "First_year" text, "Last_year" text, "Number_of_hosts" int, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID ||Party_Theme || Location ||First_year ||Last_year ||Number_of_hosts 1 || Spring ||Hemkade 48 Zaandam || 2000 || 2001 || 5 */ CREATE TABLE "host" ( "Host_ID" int, "Name" text, "Nationality" text, "Age" text, PRIMARY KEY ("Host_ID") ) /* 1 example row: SELECT * FROM host LIMIT 1; Host_ID || Name || Nationality ||Age 1 ||Austin Daye ||United States || 43 */ CREATE TABLE "party_host" ( "Party_ID" int, "Host_ID" int, "Is_Main_in_Charge" bool, PRIMARY KEY ("Party_ID","Host_ID"), FOREIGN KEY ("Host_ID") REFERENCES `host`("Host_ID"), FOREIGN KEY ("Party_ID") REFERENCES `party`("Party_ID") ) /* 1 example row: SELECT * FROM party_host LIMIT 1; Party_ID ||Host_ID ||Is_Main_in_Charge 1 || 1 || T */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "party" ( "Party_ID" int, "Party_Theme" text, "Location" text, "First_year" text, "Last_year" text, "Number_of_hosts" int, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID ||Party_Theme || Location ||First_year ||Last_year ||Number_of_hosts 1 || Spring ||Hemkade 48 Zaandam || 2000 || 2001 || 5 */ CREATE TABLE "host" ( "Host_ID" int, "Name" text, "Nationality" text, "Age" text, PRIMARY KEY ("Host_ID") ) /* 1 example row: SELECT * FROM host LIMIT 1; Host_ID || Name || Nationality ||Age 1 ||Austin Daye ||United States || 43 */ CREATE TABLE "party_host" ( "Party_ID" int, "Host_ID" int, "Is_Main_in_Charge" bool, PRIMARY KEY ("Party_ID","Host_ID"), FOREIGN KEY ("Host_ID") REFERENCES `host`("Host_ID"), FOREIGN KEY ("Party_ID") REFERENCES `party`("Party_ID") ) /* 1 example row: SELECT * FROM party_host LIMIT 1; Party_ID ||Host_ID ||Is_Main_in_Charge 1 || 1 || T */ ### Question Show the host names for parties with number of hosts greater than 20.
[query_database(**{'query': 'SELECT T2.Name FROM party_host AS T1 JOIN HOST AS T2 ON T1.Host_ID = T2.Host_ID JOIN party AS T3 ON T1.Party_ID = T3.Party_ID WHERE T3.Number_of_hosts > 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "party" ( "Party_ID" int, "Party_Theme" text, "Location" text, "First_year" text, "Last_year" text, "Number_of_hosts" int, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID ||Party_Theme || Location ||First_year ||Last_year ||Number_of_hosts 1 || Spring ||Hemkade 48 Zaandam || 2000 || 2001 || 5 */ CREATE TABLE "host" ( "Host_ID" int, "Name" text, "Nationality" text, "Age" text, PRIMARY KEY ("Host_ID") ) /* 1 example row: SELECT * FROM host LIMIT 1; Host_ID || Name || Nationality ||Age 1 ||Austin Daye ||United States || 43 */ CREATE TABLE "party_host" ( "Party_ID" int, "Host_ID" int, "Is_Main_in_Charge" bool, PRIMARY KEY ("Party_ID","Host_ID"), FOREIGN KEY ("Host_ID") REFERENCES `host`("Host_ID"), FOREIGN KEY ("Party_ID") REFERENCES `party`("Party_ID") ) /* 1 example row: SELECT * FROM party_host LIMIT 1; Party_ID ||Host_ID ||Is_Main_in_Charge 1 || 1 || T */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "party" ( "Party_ID" int, "Party_Theme" text, "Location" text, "First_year" text, "Last_year" text, "Number_of_hosts" int, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID ||Party_Theme || Location ||First_year ||Last_year ||Number_of_hosts 1 || Spring ||Hemkade 48 Zaandam || 2000 || 2001 || 5 */ CREATE TABLE "host" ( "Host_ID" int, "Name" text, "Nationality" text, "Age" text, PRIMARY KEY ("Host_ID") ) /* 1 example row: SELECT * FROM host LIMIT 1; Host_ID || Name || Nationality ||Age 1 ||Austin Daye ||United States || 43 */ CREATE TABLE "party_host" ( "Party_ID" int, "Host_ID" int, "Is_Main_in_Charge" bool, PRIMARY KEY ("Party_ID","Host_ID"), FOREIGN KEY ("Host_ID") REFERENCES `host`("Host_ID"), FOREIGN KEY ("Party_ID") REFERENCES `party`("Party_ID") ) /* 1 example row: SELECT * FROM party_host LIMIT 1; Party_ID ||Host_ID ||Is_Main_in_Charge 1 || 1 || T */ ### Question List the names of hosts who did not serve as a host of any party in our record.
[query_database(**{'query': 'SELECT Name FROM HOST WHERE Host_ID NOT IN (SELECT Host_ID FROM party_host)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "party" ( "Party_ID" int, "Party_Theme" text, "Location" text, "First_year" text, "Last_year" text, "Number_of_hosts" int, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID ||Party_Theme || Location ||First_year ||Last_year ||Number_of_hosts 1 || Spring ||Hemkade 48 Zaandam || 2000 || 2001 || 5 */ CREATE TABLE "host" ( "Host_ID" int, "Name" text, "Nationality" text, "Age" text, PRIMARY KEY ("Host_ID") ) /* 1 example row: SELECT * FROM host LIMIT 1; Host_ID || Name || Nationality ||Age 1 ||Austin Daye ||United States || 43 */ CREATE TABLE "party_host" ( "Party_ID" int, "Host_ID" int, "Is_Main_in_Charge" bool, PRIMARY KEY ("Party_ID","Host_ID"), FOREIGN KEY ("Host_ID") REFERENCES `host`("Host_ID"), FOREIGN KEY ("Party_ID") REFERENCES `party`("Party_ID") ) /* 1 example row: SELECT * FROM party_host LIMIT 1; Party_ID ||Host_ID ||Is_Main_in_Charge 1 || 1 || T */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */ ### Question Show all region code and region name sorted by the codes.
[query_database(**{'query': 'SELECT region_code , region_name FROM region ORDER BY region_code'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */ ### Question Show names for all regions except for Denmark.
[query_database(**{'query': 'SELECT region_name FROM region WHERE region_name != 'Denmark''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */ ### Question List name, dates active, and number of deaths for all storms with at least 1 death.
[query_database(**{'query': 'SELECT name , dates_active , number_deaths FROM storm WHERE number_deaths >= 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 "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */ ### Question What is the total number of deaths and damage for all storms with a max speed greater than the average?
[query_database(**{'query': 'SELECT sum(number_deaths) , sum(damage_millions_USD) FROM storm WHERE max_speed > (SELECT avg(max_speed) FROM storm)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */ ### Question How many regions are affected?
[query_database(**{'query': 'SELECT count(DISTINCT region_id) FROM affected_region'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */ ### Question Show the name for regions and the number of storms for each region.
[query_database(**{'query': 'SELECT T1.region_name , count(*) FROM region AS T1 JOIN affected_region AS T2 ON T1.region_id = T2.region_id GROUP BY T1.region_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */ ### Question What is the storm name and max speed which affected the greatest number of regions?
[query_database(**{'query': 'SELECT T1.name , T1.max_speed FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */ ### Question Show storm name with at least two regions and 10 cities affected.
[query_database(**{'query': 'SELECT T1.name FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id HAVING count(*) >= 2 INTERSECT SELECT T1.name FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id HAVING sum(T2.number_city_affected) >= 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 "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */ ### Question What are the region names affected by the storm with a number of deaths of least 10?
[query_database(**{'query': 'SELECT T2.region_name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T3.storm_id WHERE T3.number_deaths >= 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 "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */ ### Question Show the region name with at least two storms.
[query_database(**{'query': 'SELECT T1.region_name FROM region AS T1 JOIN affected_region AS T2 ON T1.region_id = T2.region_id GROUP BY T1.region_id HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */ ### Question Find the name of the storm that affected both Afghanistan and Albania regions.
[query_database(**{'query': 'SELECT T3.Name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T3.storm_id WHERE T2.Region_name = 'Afghanistan' INTERSECT SELECT T3.Name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T3.storm_id WHERE T2.Region_name = 'Albania''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "storm" ( "Storm_ID" int, "Name" text, "Dates_active" text, "Max_speed" int, "Damage_millions_USD" real, "Number_Deaths" int, PRIMARY KEY ("Storm_ID") ) /* 1 example row: SELECT * FROM storm LIMIT 1; Storm_ID ||Name ||Dates_active ||Max_speed ||Damage_millions_USD ||Number_Deaths 1 || One || May19–May25 || 995 || 13.0 || 0 */ CREATE TABLE "region" ( `Region_id` int, `Region_code` text, `Region_name` text, PRIMARY KEY ("Region_id") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_id ||Region_code ||Region_name 1 || AF ||Afghanistan */ CREATE TABLE `affected_region` ( `Region_id` int, `Storm_ID` int, `Number_city_affected` real, PRIMARY KEY (`Region_id`,`Storm_ID`), FOREIGN KEY (`Region_id`) REFERENCES `region`(`Region_id`), FOREIGN KEY (`Storm_ID`) REFERENCES `storm`(`Storm_ID`) ) /* 1 example row: SELECT * FROM affected_region LIMIT 1; Region_id ||Storm_ID ||Number_city_affected 1 || 1 || 10.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question Show the county name and population of all counties.
[query_database(**{'query': 'SELECT County_name , Population FROM county'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
2,740
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question Return the maximum and minimum population among all counties.
[query_database(**{'query': 'SELECT max(Population) , min(Population) FROM county'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
2,744
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question Show the zip code of the county with name "Howard".
[query_database(**{'query': 'SELECT Zip_code FROM county WHERE County_name = "Howard"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
2,748
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question Show the delegate and committee information of elections.
[query_database(**{'query': 'SELECT Delegate , Committee FROM election'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
2,752
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question Show the lieutenant governor and comptroller from the democratic party.
[query_database(**{'query': 'SELECT Lieutenant_Governor , Comptroller FROM party WHERE Party = "Democratic"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
2,756
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question Show all the information about election.
[query_database(**{'query': 'SELECT * FROM election'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question Which delegates are from counties with population smaller than 100000?
[query_database(**{'query': 'SELECT T2.Delegate FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District WHERE T1.Population < 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 "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question What are the names of the county that the delegates on "Appropriations" committee belong to?
[query_database(**{'query': 'SELECT T1.County_name FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District WHERE T2.Committee = "Appropriations"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question Who were the governors of the parties associated with delegates from district 1?
[query_database(**{'query': 'SELECT T2.Governor FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question Return all the committees that have delegates from Democratic party.
[query_database(**{'query': 'SELECT T1.Committee FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T2.Party = "Democratic"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question For each county, find the name of the county and the number of delegates from that county.
[query_database(**{'query': 'SELECT T1.County_name , COUNT(*) FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District GROUP BY T1.County_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
2,780
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question Return the names of all counties sorted by county name in descending alphabetical order.
[query_database(**{'query': 'SELECT County_name FROM county ORDER BY County_name DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
2,784
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question Show the 3 counties with the smallest population.
[query_database(**{'query': 'SELECT County_name FROM county ORDER BY Population 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 "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question Show the name of the party that has at least two records.
[query_database(**{'query': 'SELECT Party FROM party GROUP BY Party 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 "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question Show the people that have been governor the most times.
[query_database(**{'query': 'SELECT Governor FROM party GROUP BY Governor ORDER BY COUNT(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
2,796
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question What are the names of parties that do not have delegates in election?
[query_database(**{'query': 'SELECT Party FROM party WHERE Party_ID NOT IN (SELECT Party FROM election)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */ ### Question Which committees have delegates from both democratic party and liberal party?
[query_database(**{'query': 'SELECT T1.Committee FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T2.Party = "Democratic" INTERSECT SELECT T1.Committee FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T2.Party = "Liberal"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county" ( "County_Id" int, "County_name" text, "Population" real, "Zip_code" text, PRIMARY KEY ("County_Id") ) /* 1 example row: SELECT * FROM county LIMIT 1; County_Id ||County_name ||Population ||Zip_code 1 || Howard || 21000.0 || D21 */ CREATE TABLE "party" ( "Party_ID" int, "Year" real, "Party" text, "Governor" text, "Lieutenant_Governor" text, "Comptroller" text, "Attorney_General" text, "US_Senate" text, PRIMARY KEY ("Party_ID") ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Year || Party || Governor ||Lieutenant_Governor ||Comptroller ||Attorney_General || US_Senate 1 ||1998.0 ||Democratic ||Peter Vallone || Sandra Frankel ||Carl McCall || Eliot Spitzer ||Charles Schumer */ CREATE TABLE "election" ( "Election_ID" int, "Counties_Represented" text, "District" int, "Delegate" text, "Party" int, "First_Elected" real, "Committee" text, PRIMARY KEY ("Election_ID"), FOREIGN KEY (`Party`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`District`) REFERENCES `county`(`County_Id`) ) /* 1 example row: SELECT * FROM election LIMIT 1; Election_ID ||Counties_Represented ||District || Delegate ||Party ||First_Elected || Committee 1 || 09.1 9A || 1 ||Bates, Gail H. Gail H. Bates || 1 || 2002.0 ||Appropriations */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "event" ( "Event_ID" int, "Date" text, "Venue" text, "Name" text, "Event_Attendance" int, PRIMARY KEY ("Event_ID") ) /* 1 example row: SELECT * FROM event LIMIT 1; Event_ID || Date || Venue || Name ||Event_Attendance 1 ||13 October 2008 ||Marathon ||Olympia Games Openning || 6650 */ CREATE TABLE "journalist" ( "journalist_ID" int, "Name" text, "Nationality" text, "Age" text, "Years_working" int, PRIMARY KEY ("journalist_ID") ) /* 1 example row: SELECT * FROM journalist LIMIT 1; journalist_ID || Name ||Nationality ||Age ||Years_working 1 ||Herbert Swindells || England || 37 || 10 */ CREATE TABLE "news_report" ( "journalist_ID" int, "Event_ID" int, "Work_Type" text, PRIMARY KEY ("journalist_ID","Event_ID"), FOREIGN KEY ("journalist_ID") REFERENCES `journalist`("journalist_ID"), FOREIGN KEY ("Event_ID") REFERENCES `event`("Event_ID") ) /* 1 example row: SELECT * FROM news_report LIMIT 1; journalist_ID ||Event_ID ||Work_Type 1 || 3 ||Screening */ ### Question What are the nationalities and ages of journalists?
[query_database(**{'query': 'SELECT Nationality , Age FROM journalist'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "event" ( "Event_ID" int, "Date" text, "Venue" text, "Name" text, "Event_Attendance" int, PRIMARY KEY ("Event_ID") ) /* 1 example row: SELECT * FROM event LIMIT 1; Event_ID || Date || Venue || Name ||Event_Attendance 1 ||13 October 2008 ||Marathon ||Olympia Games Openning || 6650 */ CREATE TABLE "journalist" ( "journalist_ID" int, "Name" text, "Nationality" text, "Age" text, "Years_working" int, PRIMARY KEY ("journalist_ID") ) /* 1 example row: SELECT * FROM journalist LIMIT 1; journalist_ID || Name ||Nationality ||Age ||Years_working 1 ||Herbert Swindells || England || 37 || 10 */ CREATE TABLE "news_report" ( "journalist_ID" int, "Event_ID" int, "Work_Type" text, PRIMARY KEY ("journalist_ID","Event_ID"), FOREIGN KEY ("journalist_ID") REFERENCES `journalist`("journalist_ID"), FOREIGN KEY ("Event_ID") REFERENCES `event`("Event_ID") ) /* 1 example row: SELECT * FROM news_report LIMIT 1; journalist_ID ||Event_ID ||Work_Type 1 || 3 ||Screening */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "event" ( "Event_ID" int, "Date" text, "Venue" text, "Name" text, "Event_Attendance" int, PRIMARY KEY ("Event_ID") ) /* 1 example row: SELECT * FROM event LIMIT 1; Event_ID || Date || Venue || Name ||Event_Attendance 1 ||13 October 2008 ||Marathon ||Olympia Games Openning || 6650 */ CREATE TABLE "journalist" ( "journalist_ID" int, "Name" text, "Nationality" text, "Age" text, "Years_working" int, PRIMARY KEY ("journalist_ID") ) /* 1 example row: SELECT * FROM journalist LIMIT 1; journalist_ID || Name ||Nationality ||Age ||Years_working 1 ||Herbert Swindells || England || 37 || 10 */ CREATE TABLE "news_report" ( "journalist_ID" int, "Event_ID" int, "Work_Type" text, PRIMARY KEY ("journalist_ID","Event_ID"), FOREIGN KEY ("journalist_ID") REFERENCES `journalist`("journalist_ID"), FOREIGN KEY ("Event_ID") REFERENCES `event`("Event_ID") ) /* 1 example row: SELECT * FROM news_report LIMIT 1; journalist_ID ||Event_ID ||Work_Type 1 || 3 ||Screening */ ### Question What is the average number of years spent working as a journalist?
[query_database(**{'query': 'SELECT avg(Years_working) FROM journalist'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "event" ( "Event_ID" int, "Date" text, "Venue" text, "Name" text, "Event_Attendance" int, PRIMARY KEY ("Event_ID") ) /* 1 example row: SELECT * FROM event LIMIT 1; Event_ID || Date || Venue || Name ||Event_Attendance 1 ||13 October 2008 ||Marathon ||Olympia Games Openning || 6650 */ CREATE TABLE "journalist" ( "journalist_ID" int, "Name" text, "Nationality" text, "Age" text, "Years_working" int, PRIMARY KEY ("journalist_ID") ) /* 1 example row: SELECT * FROM journalist LIMIT 1; journalist_ID || Name ||Nationality ||Age ||Years_working 1 ||Herbert Swindells || England || 37 || 10 */ CREATE TABLE "news_report" ( "journalist_ID" int, "Event_ID" int, "Work_Type" text, PRIMARY KEY ("journalist_ID","Event_ID"), FOREIGN KEY ("journalist_ID") REFERENCES `journalist`("journalist_ID"), FOREIGN KEY ("Event_ID") REFERENCES `event`("Event_ID") ) /* 1 example row: SELECT * FROM news_report LIMIT 1; journalist_ID ||Event_ID ||Work_Type 1 || 3 ||Screening */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "event" ( "Event_ID" int, "Date" text, "Venue" text, "Name" text, "Event_Attendance" int, PRIMARY KEY ("Event_ID") ) /* 1 example row: SELECT * FROM event LIMIT 1; Event_ID || Date || Venue || Name ||Event_Attendance 1 ||13 October 2008 ||Marathon ||Olympia Games Openning || 6650 */ CREATE TABLE "journalist" ( "journalist_ID" int, "Name" text, "Nationality" text, "Age" text, "Years_working" int, PRIMARY KEY ("journalist_ID") ) /* 1 example row: SELECT * FROM journalist LIMIT 1; journalist_ID || Name ||Nationality ||Age ||Years_working 1 ||Herbert Swindells || England || 37 || 10 */ CREATE TABLE "news_report" ( "journalist_ID" int, "Event_ID" int, "Work_Type" text, PRIMARY KEY ("journalist_ID","Event_ID"), FOREIGN KEY ("journalist_ID") REFERENCES `journalist`("journalist_ID"), FOREIGN KEY ("Event_ID") REFERENCES `event`("Event_ID") ) /* 1 example row: SELECT * FROM news_report LIMIT 1; journalist_ID ||Event_ID ||Work_Type 1 || 3 ||Screening */ ### Question Show the nations that have both journalists with more than 10 years of working and journalists with less than 3 years of working.
[query_database(**{'query': 'SELECT Nationality FROM journalist WHERE Years_working > 10 INTERSECT SELECT Nationality FROM journalist WHERE Years_working < 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 "event" ( "Event_ID" int, "Date" text, "Venue" text, "Name" text, "Event_Attendance" int, PRIMARY KEY ("Event_ID") ) /* 1 example row: SELECT * FROM event LIMIT 1; Event_ID || Date || Venue || Name ||Event_Attendance 1 ||13 October 2008 ||Marathon ||Olympia Games Openning || 6650 */ CREATE TABLE "journalist" ( "journalist_ID" int, "Name" text, "Nationality" text, "Age" text, "Years_working" int, PRIMARY KEY ("journalist_ID") ) /* 1 example row: SELECT * FROM journalist LIMIT 1; journalist_ID || Name ||Nationality ||Age ||Years_working 1 ||Herbert Swindells || England || 37 || 10 */ CREATE TABLE "news_report" ( "journalist_ID" int, "Event_ID" int, "Work_Type" text, PRIMARY KEY ("journalist_ID","Event_ID"), FOREIGN KEY ("journalist_ID") REFERENCES `journalist`("journalist_ID"), FOREIGN KEY ("Event_ID") REFERENCES `event`("Event_ID") ) /* 1 example row: SELECT * FROM news_report LIMIT 1; journalist_ID ||Event_ID ||Work_Type 1 || 3 ||Screening */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "event" ( "Event_ID" int, "Date" text, "Venue" text, "Name" text, "Event_Attendance" int, PRIMARY KEY ("Event_ID") ) /* 1 example row: SELECT * FROM event LIMIT 1; Event_ID || Date || Venue || Name ||Event_Attendance 1 ||13 October 2008 ||Marathon ||Olympia Games Openning || 6650 */ CREATE TABLE "journalist" ( "journalist_ID" int, "Name" text, "Nationality" text, "Age" text, "Years_working" int, PRIMARY KEY ("journalist_ID") ) /* 1 example row: SELECT * FROM journalist LIMIT 1; journalist_ID || Name ||Nationality ||Age ||Years_working 1 ||Herbert Swindells || England || 37 || 10 */ CREATE TABLE "news_report" ( "journalist_ID" int, "Event_ID" int, "Work_Type" text, PRIMARY KEY ("journalist_ID","Event_ID"), FOREIGN KEY ("journalist_ID") REFERENCES `journalist`("journalist_ID"), FOREIGN KEY ("Event_ID") REFERENCES `event`("Event_ID") ) /* 1 example row: SELECT * FROM news_report LIMIT 1; journalist_ID ||Event_ID ||Work_Type 1 || 3 ||Screening */ ### Question List the names of journalists who have not reported any event.
[query_database(**{'query': 'SELECT Name FROM journalist WHERE journalist_ID NOT IN (SELECT journalist_ID FROM news_report)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "event" ( "Event_ID" int, "Date" text, "Venue" text, "Name" text, "Event_Attendance" int, PRIMARY KEY ("Event_ID") ) /* 1 example row: SELECT * FROM event LIMIT 1; Event_ID || Date || Venue || Name ||Event_Attendance 1 ||13 October 2008 ||Marathon ||Olympia Games Openning || 6650 */ CREATE TABLE "journalist" ( "journalist_ID" int, "Name" text, "Nationality" text, "Age" text, "Years_working" int, PRIMARY KEY ("journalist_ID") ) /* 1 example row: SELECT * FROM journalist LIMIT 1; journalist_ID || Name ||Nationality ||Age ||Years_working 1 ||Herbert Swindells || England || 37 || 10 */ CREATE TABLE "news_report" ( "journalist_ID" int, "Event_ID" int, "Work_Type" text, PRIMARY KEY ("journalist_ID","Event_ID"), FOREIGN KEY ("journalist_ID") REFERENCES `journalist`("journalist_ID"), FOREIGN KEY ("Event_ID") REFERENCES `event`("Event_ID") ) /* 1 example row: SELECT * FROM news_report LIMIT 1; journalist_ID ||Event_ID ||Work_Type 1 || 3 ||Screening */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "event" ( "Event_ID" int, "Date" text, "Venue" text, "Name" text, "Event_Attendance" int, PRIMARY KEY ("Event_ID") ) /* 1 example row: SELECT * FROM event LIMIT 1; Event_ID || Date || Venue || Name ||Event_Attendance 1 ||13 October 2008 ||Marathon ||Olympia Games Openning || 6650 */ CREATE TABLE "journalist" ( "journalist_ID" int, "Name" text, "Nationality" text, "Age" text, "Years_working" int, PRIMARY KEY ("journalist_ID") ) /* 1 example row: SELECT * FROM journalist LIMIT 1; journalist_ID || Name ||Nationality ||Age ||Years_working 1 ||Herbert Swindells || England || 37 || 10 */ CREATE TABLE "news_report" ( "journalist_ID" int, "Event_ID" int, "Work_Type" text, PRIMARY KEY ("journalist_ID","Event_ID"), FOREIGN KEY ("journalist_ID") REFERENCES `journalist`("journalist_ID"), FOREIGN KEY ("Event_ID") REFERENCES `event`("Event_ID") ) /* 1 example row: SELECT * FROM news_report LIMIT 1; journalist_ID ||Event_ID ||Work_Type 1 || 3 ||Screening */ ### Question Find the average age and experience working length of journalists working on different role type.
[query_database(**{'query': 'SELECT avg(t1.age) , avg(Years_working) , t2.work_type FROM journalist AS t1 JOIN news_report AS t2 ON t1.journalist_id = t2.journalist_id GROUP BY t2.work_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 "event" ( "Event_ID" int, "Date" text, "Venue" text, "Name" text, "Event_Attendance" int, PRIMARY KEY ("Event_ID") ) /* 1 example row: SELECT * FROM event LIMIT 1; Event_ID || Date || Venue || Name ||Event_Attendance 1 ||13 October 2008 ||Marathon ||Olympia Games Openning || 6650 */ CREATE TABLE "journalist" ( "journalist_ID" int, "Name" text, "Nationality" text, "Age" text, "Years_working" int, PRIMARY KEY ("journalist_ID") ) /* 1 example row: SELECT * FROM journalist LIMIT 1; journalist_ID || Name ||Nationality ||Age ||Years_working 1 ||Herbert Swindells || England || 37 || 10 */ CREATE TABLE "news_report" ( "journalist_ID" int, "Event_ID" int, "Work_Type" text, PRIMARY KEY ("journalist_ID","Event_ID"), FOREIGN KEY ("journalist_ID") REFERENCES `journalist`("journalist_ID"), FOREIGN KEY ("Event_ID") REFERENCES `event`("Event_ID") ) /* 1 example row: SELECT * FROM news_report LIMIT 1; journalist_ID ||Event_ID ||Work_Type 1 || 3 ||Screening */
2,823
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Restaurant ( ResID INTEGER PRIMARY KEY, ResName VARCHAR(100), Address VARCHAR(100), Rating INTEGER ) /* 1 example row: SELECT * FROM restaurant LIMIT 1; ResID ||ResName || Address ||Rating 1 || Subway ||3233 St Paul St, Baltimore, MD 21218 || 3 */ CREATE TABLE Type_Of_Restaurant ( ResID INTEGER, ResTypeID INTEGER, FOREIGN KEY(ResID) REFERENCES Restaurant(ResID), FOREIGN KEY(ResTypeID) REFERENCES Restaurant_Type(ResTypeID) ) /* 1 example row: SELECT * FROM type_of_restaurant LIMIT 1; ResID ||ResTypeID 1 || 1 */ CREATE TABLE Restaurant_Type ( ResTypeID INTEGER PRIMARY KEY, ResTypeName VARCHAR(40), ResTypeDescription VARCHAR(100) ) /* 1 example row: SELECT * FROM restaurant_type LIMIT 1; ResTypeID ||ResTypeName ||ResTypeDescription 1 || Sandwich ||Simplest there is. */ CREATE TABLE Visits_Restaurant ( StuID INTEGER, ResID INTEGER, Time TIMESTAMP, Spent FLOAT, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ResID) REFERENCES Restaurant(ResID) ) /* 1 example row: SELECT * FROM visits_restaurant LIMIT 1; StuID ||ResID || Time ||Spent 1001 || 1 ||2017-10-09 18:15:00 || 6.53 */ ### Question List all restaurant types.
[query_database(**{'query': 'SELECT ResTypeName FROM Restaurant_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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Restaurant ( ResID INTEGER PRIMARY KEY, ResName VARCHAR(100), Address VARCHAR(100), Rating INTEGER ) /* 1 example row: SELECT * FROM restaurant LIMIT 1; ResID ||ResName || Address ||Rating 1 || Subway ||3233 St Paul St, Baltimore, MD 21218 || 3 */ CREATE TABLE Type_Of_Restaurant ( ResID INTEGER, ResTypeID INTEGER, FOREIGN KEY(ResID) REFERENCES Restaurant(ResID), FOREIGN KEY(ResTypeID) REFERENCES Restaurant_Type(ResTypeID) ) /* 1 example row: SELECT * FROM type_of_restaurant LIMIT 1; ResID ||ResTypeID 1 || 1 */ CREATE TABLE Restaurant_Type ( ResTypeID INTEGER PRIMARY KEY, ResTypeName VARCHAR(40), ResTypeDescription VARCHAR(100) ) /* 1 example row: SELECT * FROM restaurant_type LIMIT 1; ResTypeID ||ResTypeName ||ResTypeDescription 1 || Sandwich ||Simplest there is. */ CREATE TABLE Visits_Restaurant ( StuID INTEGER, ResID INTEGER, Time TIMESTAMP, Spent FLOAT, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ResID) REFERENCES Restaurant(ResID) ) /* 1 example row: SELECT * FROM visits_restaurant LIMIT 1; StuID ||ResID || Time ||Spent 1001 || 1 ||2017-10-09 18:15:00 || 6.53 */
2,827
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Restaurant ( ResID INTEGER PRIMARY KEY, ResName VARCHAR(100), Address VARCHAR(100), Rating INTEGER ) /* 1 example row: SELECT * FROM restaurant LIMIT 1; ResID ||ResName || Address ||Rating 1 || Subway ||3233 St Paul St, Baltimore, MD 21218 || 3 */ CREATE TABLE Type_Of_Restaurant ( ResID INTEGER, ResTypeID INTEGER, FOREIGN KEY(ResID) REFERENCES Restaurant(ResID), FOREIGN KEY(ResTypeID) REFERENCES Restaurant_Type(ResTypeID) ) /* 1 example row: SELECT * FROM type_of_restaurant LIMIT 1; ResID ||ResTypeID 1 || 1 */ CREATE TABLE Restaurant_Type ( ResTypeID INTEGER PRIMARY KEY, ResTypeName VARCHAR(40), ResTypeDescription VARCHAR(100) ) /* 1 example row: SELECT * FROM restaurant_type LIMIT 1; ResTypeID ||ResTypeName ||ResTypeDescription 1 || Sandwich ||Simplest there is. */ CREATE TABLE Visits_Restaurant ( StuID INTEGER, ResID INTEGER, Time TIMESTAMP, Spent FLOAT, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ResID) REFERENCES Restaurant(ResID) ) /* 1 example row: SELECT * FROM visits_restaurant LIMIT 1; StuID ||ResID || Time ||Spent 1001 || 1 ||2017-10-09 18:15:00 || 6.53 */ ### Question What is the gender of the student Linda Smith?
[query_database(**{'query': 'SELECT Sex FROM Student WHERE Fname = "Linda" AND Lname = "Smith";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Restaurant ( ResID INTEGER PRIMARY KEY, ResName VARCHAR(100), Address VARCHAR(100), Rating INTEGER ) /* 1 example row: SELECT * FROM restaurant LIMIT 1; ResID ||ResName || Address ||Rating 1 || Subway ||3233 St Paul St, Baltimore, MD 21218 || 3 */ CREATE TABLE Type_Of_Restaurant ( ResID INTEGER, ResTypeID INTEGER, FOREIGN KEY(ResID) REFERENCES Restaurant(ResID), FOREIGN KEY(ResTypeID) REFERENCES Restaurant_Type(ResTypeID) ) /* 1 example row: SELECT * FROM type_of_restaurant LIMIT 1; ResID ||ResTypeID 1 || 1 */ CREATE TABLE Restaurant_Type ( ResTypeID INTEGER PRIMARY KEY, ResTypeName VARCHAR(40), ResTypeDescription VARCHAR(100) ) /* 1 example row: SELECT * FROM restaurant_type LIMIT 1; ResTypeID ||ResTypeName ||ResTypeDescription 1 || Sandwich ||Simplest there is. */ CREATE TABLE Visits_Restaurant ( StuID INTEGER, ResID INTEGER, Time TIMESTAMP, Spent FLOAT, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ResID) REFERENCES Restaurant(ResID) ) /* 1 example row: SELECT * FROM visits_restaurant LIMIT 1; StuID ||ResID || Time ||Spent 1001 || 1 ||2017-10-09 18:15:00 || 6.53 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Restaurant ( ResID INTEGER PRIMARY KEY, ResName VARCHAR(100), Address VARCHAR(100), Rating INTEGER ) /* 1 example row: SELECT * FROM restaurant LIMIT 1; ResID ||ResName || Address ||Rating 1 || Subway ||3233 St Paul St, Baltimore, MD 21218 || 3 */ CREATE TABLE Type_Of_Restaurant ( ResID INTEGER, ResTypeID INTEGER, FOREIGN KEY(ResID) REFERENCES Restaurant(ResID), FOREIGN KEY(ResTypeID) REFERENCES Restaurant_Type(ResTypeID) ) /* 1 example row: SELECT * FROM type_of_restaurant LIMIT 1; ResID ||ResTypeID 1 || 1 */ CREATE TABLE Restaurant_Type ( ResTypeID INTEGER PRIMARY KEY, ResTypeName VARCHAR(40), ResTypeDescription VARCHAR(100) ) /* 1 example row: SELECT * FROM restaurant_type LIMIT 1; ResTypeID ||ResTypeName ||ResTypeDescription 1 || Sandwich ||Simplest there is. */ CREATE TABLE Visits_Restaurant ( StuID INTEGER, ResID INTEGER, Time TIMESTAMP, Spent FLOAT, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ResID) REFERENCES Restaurant(ResID) ) /* 1 example row: SELECT * FROM visits_restaurant LIMIT 1; StuID ||ResID || Time ||Spent 1001 || 1 ||2017-10-09 18:15:00 || 6.53 */ ### Question Which Advisor has most of students? List advisor and the number of students.
[query_database(**{'query': 'SELECT Advisor , count(*) FROM Student GROUP BY Advisor ORDER BY count(Advisor) DESC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Restaurant ( ResID INTEGER PRIMARY KEY, ResName VARCHAR(100), Address VARCHAR(100), Rating INTEGER ) /* 1 example row: SELECT * FROM restaurant LIMIT 1; ResID ||ResName || Address ||Rating 1 || Subway ||3233 St Paul St, Baltimore, MD 21218 || 3 */ CREATE TABLE Type_Of_Restaurant ( ResID INTEGER, ResTypeID INTEGER, FOREIGN KEY(ResID) REFERENCES Restaurant(ResID), FOREIGN KEY(ResTypeID) REFERENCES Restaurant_Type(ResTypeID) ) /* 1 example row: SELECT * FROM type_of_restaurant LIMIT 1; ResID ||ResTypeID 1 || 1 */ CREATE TABLE Restaurant_Type ( ResTypeID INTEGER PRIMARY KEY, ResTypeName VARCHAR(40), ResTypeDescription VARCHAR(100) ) /* 1 example row: SELECT * FROM restaurant_type LIMIT 1; ResTypeID ||ResTypeName ||ResTypeDescription 1 || Sandwich ||Simplest there is. */ CREATE TABLE Visits_Restaurant ( StuID INTEGER, ResID INTEGER, Time TIMESTAMP, Spent FLOAT, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ResID) REFERENCES Restaurant(ResID) ) /* 1 example row: SELECT * FROM visits_restaurant LIMIT 1; StuID ||ResID || Time ||Spent 1001 || 1 ||2017-10-09 18:15:00 || 6.53 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Restaurant ( ResID INTEGER PRIMARY KEY, ResName VARCHAR(100), Address VARCHAR(100), Rating INTEGER ) /* 1 example row: SELECT * FROM restaurant LIMIT 1; ResID ||ResName || Address ||Rating 1 || Subway ||3233 St Paul St, Baltimore, MD 21218 || 3 */ CREATE TABLE Type_Of_Restaurant ( ResID INTEGER, ResTypeID INTEGER, FOREIGN KEY(ResID) REFERENCES Restaurant(ResID), FOREIGN KEY(ResTypeID) REFERENCES Restaurant_Type(ResTypeID) ) /* 1 example row: SELECT * FROM type_of_restaurant LIMIT 1; ResID ||ResTypeID 1 || 1 */ CREATE TABLE Restaurant_Type ( ResTypeID INTEGER PRIMARY KEY, ResTypeName VARCHAR(40), ResTypeDescription VARCHAR(100) ) /* 1 example row: SELECT * FROM restaurant_type LIMIT 1; ResTypeID ||ResTypeName ||ResTypeDescription 1 || Sandwich ||Simplest there is. */ CREATE TABLE Visits_Restaurant ( StuID INTEGER, ResID INTEGER, Time TIMESTAMP, Spent FLOAT, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ResID) REFERENCES Restaurant(ResID) ) /* 1 example row: SELECT * FROM visits_restaurant LIMIT 1; StuID ||ResID || Time ||Spent 1001 || 1 ||2017-10-09 18:15:00 || 6.53 */ ### Question List all female students age is older than 18 who is not majoring in 600. List students' first name and last name.
[query_database(**{'query': 'SELECT Fname , Lname FROM Student WHERE Age > 18 AND Major != 600 AND 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 Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Restaurant ( ResID INTEGER PRIMARY KEY, ResName VARCHAR(100), Address VARCHAR(100), Rating INTEGER ) /* 1 example row: SELECT * FROM restaurant LIMIT 1; ResID ||ResName || Address ||Rating 1 || Subway ||3233 St Paul St, Baltimore, MD 21218 || 3 */ CREATE TABLE Type_Of_Restaurant ( ResID INTEGER, ResTypeID INTEGER, FOREIGN KEY(ResID) REFERENCES Restaurant(ResID), FOREIGN KEY(ResTypeID) REFERENCES Restaurant_Type(ResTypeID) ) /* 1 example row: SELECT * FROM type_of_restaurant LIMIT 1; ResID ||ResTypeID 1 || 1 */ CREATE TABLE Restaurant_Type ( ResTypeID INTEGER PRIMARY KEY, ResTypeName VARCHAR(40), ResTypeDescription VARCHAR(100) ) /* 1 example row: SELECT * FROM restaurant_type LIMIT 1; ResTypeID ||ResTypeName ||ResTypeDescription 1 || Sandwich ||Simplest there is. */ CREATE TABLE Visits_Restaurant ( StuID INTEGER, ResID INTEGER, Time TIMESTAMP, Spent FLOAT, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ResID) REFERENCES Restaurant(ResID) ) /* 1 example row: SELECT * FROM visits_restaurant LIMIT 1; StuID ||ResID || Time ||Spent 1001 || 1 ||2017-10-09 18:15:00 || 6.53 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Restaurant ( ResID INTEGER PRIMARY KEY, ResName VARCHAR(100), Address VARCHAR(100), Rating INTEGER ) /* 1 example row: SELECT * FROM restaurant LIMIT 1; ResID ||ResName || Address ||Rating 1 || Subway ||3233 St Paul St, Baltimore, MD 21218 || 3 */ CREATE TABLE Type_Of_Restaurant ( ResID INTEGER, ResTypeID INTEGER, FOREIGN KEY(ResID) REFERENCES Restaurant(ResID), FOREIGN KEY(ResTypeID) REFERENCES Restaurant_Type(ResTypeID) ) /* 1 example row: SELECT * FROM type_of_restaurant LIMIT 1; ResID ||ResTypeID 1 || 1 */ CREATE TABLE Restaurant_Type ( ResTypeID INTEGER PRIMARY KEY, ResTypeName VARCHAR(40), ResTypeDescription VARCHAR(100) ) /* 1 example row: SELECT * FROM restaurant_type LIMIT 1; ResTypeID ||ResTypeName ||ResTypeDescription 1 || Sandwich ||Simplest there is. */ CREATE TABLE Visits_Restaurant ( StuID INTEGER, ResID INTEGER, Time TIMESTAMP, Spent FLOAT, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ResID) REFERENCES Restaurant(ResID) ) /* 1 example row: SELECT * FROM visits_restaurant LIMIT 1; StuID ||ResID || Time ||Spent 1001 || 1 ||2017-10-09 18:15:00 || 6.53 */ ### Question When did Linda Smith visit Subway?
[query_database(**{'query': 'SELECT TIME FROM Student JOIN Visits_Restaurant ON Student.StuID = Visits_Restaurant.StuID JOIN Restaurant ON Visits_Restaurant.ResID = Restaurant.ResID WHERE Student.Fname = "Linda" AND Student.Lname = "Smith" AND Restaurant.ResName = "Subway";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE Restaurant ( ResID INTEGER PRIMARY KEY, ResName VARCHAR(100), Address VARCHAR(100), Rating INTEGER ) /* 1 example row: SELECT * FROM restaurant LIMIT 1; ResID ||ResName || Address ||Rating 1 || Subway ||3233 St Paul St, Baltimore, MD 21218 || 3 */ CREATE TABLE Type_Of_Restaurant ( ResID INTEGER, ResTypeID INTEGER, FOREIGN KEY(ResID) REFERENCES Restaurant(ResID), FOREIGN KEY(ResTypeID) REFERENCES Restaurant_Type(ResTypeID) ) /* 1 example row: SELECT * FROM type_of_restaurant LIMIT 1; ResID ||ResTypeID 1 || 1 */ CREATE TABLE Restaurant_Type ( ResTypeID INTEGER PRIMARY KEY, ResTypeName VARCHAR(40), ResTypeDescription VARCHAR(100) ) /* 1 example row: SELECT * FROM restaurant_type LIMIT 1; ResTypeID ||ResTypeName ||ResTypeDescription 1 || Sandwich ||Simplest there is. */ CREATE TABLE Visits_Restaurant ( StuID INTEGER, ResID INTEGER, Time TIMESTAMP, Spent FLOAT, FOREIGN KEY(StuID) REFERENCES Student(StuID), FOREIGN KEY(ResID) REFERENCES Restaurant(ResID) ) /* 1 example row: SELECT * FROM visits_restaurant LIMIT 1; StuID ||ResID || Time ||Spent 1001 || 1 ||2017-10-09 18:15:00 || 6.53 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(20), `product_price` DECIMAL(19,4), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_price ||product_description 1 || dvds || 1322.78 || good condition */ CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details || city ||zip_postcode ||state_province_county ||country 1 ||92283 Lora Forges Suite 322 ||Mohrville || 271 || Nebraska || USA */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(10) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `date_became_customer` DATETIME ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email ||date_became_customer 1 || Visa || Ron Emard ||1-382-503-5179x53639 ||[email protected] || 2011-04-25 22:20:35 */ CREATE TABLE `Regular_Orders` ( `regular_order_id` INTEGER PRIMARY KEY, `distributer_id` INTEGER NOT NULL, FOREIGN KEY (`distributer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM regular_orders LIMIT 1; regular_order_id ||distributer_id 1 || 12 */ CREATE TABLE `Regular_Order_Products` ( `regular_order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`regular_order_id` ) REFERENCES `Regular_Orders`(`regular_order_id` ) ) /* 1 example row: SELECT * FROM regular_order_products LIMIT 1; regular_order_id ||product_id 5 || 3 */ CREATE TABLE `Actual_Orders` ( `actual_order_id` INTEGER PRIMARY KEY, `order_status_code` VARCHAR(10) NOT NULL, `regular_order_id` INTEGER NOT NULL, `actual_order_date` DATETIME, FOREIGN KEY (`regular_order_id` ) REFERENCES `Regular_Orders`(`regular_order_id` ) ) /* 1 example row: SELECT * FROM actual_orders LIMIT 1; actual_order_id ||order_status_code ||regular_order_id || actual_order_date 1 || Success || 8 ||2018-03-02 23:26:19 */ CREATE TABLE `Actual_Order_Products` ( `actual_order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`actual_order_id` ) REFERENCES `Actual_Orders`(`actual_order_id` ) ) /* 1 example row: SELECT * FROM actual_order_products LIMIT 1; actual_order_id ||product_id 2 || 1 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `address_type` VARCHAR(10) NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from ||address_type || date_to 5 || 6 ||2016-09-06 19:23:46 || House ||2018-02-25 15:34:58 */ CREATE TABLE `Delivery_Routes` ( `route_id` INTEGER PRIMARY KEY, `route_name` VARCHAR(50), `other_route_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM delivery_routes LIMIT 1; route_id ||route_name || other_route_details 1 ||Torphy Ltd ||16893 Wilderman Terrace Port Lucasburgh, ND 55978-5550 */ CREATE TABLE `Delivery_Route_Locations` ( `location_code` VARCHAR(10) PRIMARY KEY, `route_id` INTEGER NOT NULL, `location_address_id` INTEGER NOT NULL, `location_name` VARCHAR(50), FOREIGN KEY (`location_address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`route_id` ) REFERENCES `Delivery_Routes`(`route_id` ) ) /* 1 example row: SELECT * FROM delivery_route_locations LIMIT 1; location_code ||route_id ||location_address_id || location_name 27 City Rd || 11 || 5 ||Labadie-Crooks */ CREATE TABLE `Trucks` ( `truck_id` INTEGER PRIMARY KEY, `truck_licence_number` VARCHAR(20), `truck_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM trucks LIMIT 1; truck_id ||truck_licence_number ||truck_details 1 || 58110 || Frida */ CREATE TABLE `Employees` ( `employee_id` INTEGER PRIMARY KEY, `employee_address_id` INTEGER NOT NULL, `employee_name` VARCHAR(80), `employee_phone` VARCHAR(80), FOREIGN KEY (`employee_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||employee_address_id ||employee_name ||employee_phone 1 || 4 || Kacie || 716-650-2081 */ CREATE TABLE `Order_Deliveries` ( `location_code` VARCHAR(10) NOT NULL, `actual_order_id` INTEGER NOT NULL, `delivery_status_code` VARCHAR(10) NOT NULL, `driver_employee_id` INTEGER NOT NULL, `truck_id` INTEGER NOT NULL, `delivery_date` DATETIME, FOREIGN KEY (`truck_id` ) REFERENCES `Trucks`(`truck_id` ), FOREIGN KEY (`actual_order_id` ) REFERENCES `Actual_Orders`(`actual_order_id` ), FOREIGN KEY (`location_code` ) REFERENCES `Delivery_Route_Locations`(`location_code` ), FOREIGN KEY (`driver_employee_id` ) REFERENCES `Employees`(`employee_id` ) ) /* 1 example row: SELECT * FROM order_deliveries LIMIT 1; location_code ||actual_order_id ||delivery_status_code ||driver_employee_id ||truck_id || delivery_date 27 City Rd || 11 || Ready || 6 || 11 ||2018-03-21 00:57:22 */ ### Question Find the name and price of the product that has been ordered the greatest number of times.
[query_database(**{'query': 'SELECT t1.product_name , t1.product_price FROM products AS t1 JOIN regular_order_products AS t2 ON t1.product_id = t2.product_id GROUP BY t2.product_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(20), `product_price` DECIMAL(19,4), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_price ||product_description 1 || dvds || 1322.78 || good condition */ CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details || city ||zip_postcode ||state_province_county ||country 1 ||92283 Lora Forges Suite 322 ||Mohrville || 271 || Nebraska || USA */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(10) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `date_became_customer` DATETIME ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email ||date_became_customer 1 || Visa || Ron Emard ||1-382-503-5179x53639 ||[email protected] || 2011-04-25 22:20:35 */ CREATE TABLE `Regular_Orders` ( `regular_order_id` INTEGER PRIMARY KEY, `distributer_id` INTEGER NOT NULL, FOREIGN KEY (`distributer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM regular_orders LIMIT 1; regular_order_id ||distributer_id 1 || 12 */ CREATE TABLE `Regular_Order_Products` ( `regular_order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`regular_order_id` ) REFERENCES `Regular_Orders`(`regular_order_id` ) ) /* 1 example row: SELECT * FROM regular_order_products LIMIT 1; regular_order_id ||product_id 5 || 3 */ CREATE TABLE `Actual_Orders` ( `actual_order_id` INTEGER PRIMARY KEY, `order_status_code` VARCHAR(10) NOT NULL, `regular_order_id` INTEGER NOT NULL, `actual_order_date` DATETIME, FOREIGN KEY (`regular_order_id` ) REFERENCES `Regular_Orders`(`regular_order_id` ) ) /* 1 example row: SELECT * FROM actual_orders LIMIT 1; actual_order_id ||order_status_code ||regular_order_id || actual_order_date 1 || Success || 8 ||2018-03-02 23:26:19 */ CREATE TABLE `Actual_Order_Products` ( `actual_order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`actual_order_id` ) REFERENCES `Actual_Orders`(`actual_order_id` ) ) /* 1 example row: SELECT * FROM actual_order_products LIMIT 1; actual_order_id ||product_id 2 || 1 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `address_type` VARCHAR(10) NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from ||address_type || date_to 5 || 6 ||2016-09-06 19:23:46 || House ||2018-02-25 15:34:58 */ CREATE TABLE `Delivery_Routes` ( `route_id` INTEGER PRIMARY KEY, `route_name` VARCHAR(50), `other_route_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM delivery_routes LIMIT 1; route_id ||route_name || other_route_details 1 ||Torphy Ltd ||16893 Wilderman Terrace Port Lucasburgh, ND 55978-5550 */ CREATE TABLE `Delivery_Route_Locations` ( `location_code` VARCHAR(10) PRIMARY KEY, `route_id` INTEGER NOT NULL, `location_address_id` INTEGER NOT NULL, `location_name` VARCHAR(50), FOREIGN KEY (`location_address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`route_id` ) REFERENCES `Delivery_Routes`(`route_id` ) ) /* 1 example row: SELECT * FROM delivery_route_locations LIMIT 1; location_code ||route_id ||location_address_id || location_name 27 City Rd || 11 || 5 ||Labadie-Crooks */ CREATE TABLE `Trucks` ( `truck_id` INTEGER PRIMARY KEY, `truck_licence_number` VARCHAR(20), `truck_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM trucks LIMIT 1; truck_id ||truck_licence_number ||truck_details 1 || 58110 || Frida */ CREATE TABLE `Employees` ( `employee_id` INTEGER PRIMARY KEY, `employee_address_id` INTEGER NOT NULL, `employee_name` VARCHAR(80), `employee_phone` VARCHAR(80), FOREIGN KEY (`employee_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||employee_address_id ||employee_name ||employee_phone 1 || 4 || Kacie || 716-650-2081 */ CREATE TABLE `Order_Deliveries` ( `location_code` VARCHAR(10) NOT NULL, `actual_order_id` INTEGER NOT NULL, `delivery_status_code` VARCHAR(10) NOT NULL, `driver_employee_id` INTEGER NOT NULL, `truck_id` INTEGER NOT NULL, `delivery_date` DATETIME, FOREIGN KEY (`truck_id` ) REFERENCES `Trucks`(`truck_id` ), FOREIGN KEY (`actual_order_id` ) REFERENCES `Actual_Orders`(`actual_order_id` ), FOREIGN KEY (`location_code` ) REFERENCES `Delivery_Route_Locations`(`location_code` ), FOREIGN KEY (`driver_employee_id` ) REFERENCES `Employees`(`employee_id` ) ) /* 1 example row: SELECT * FROM order_deliveries LIMIT 1; location_code ||actual_order_id ||delivery_status_code ||driver_employee_id ||truck_id || delivery_date 27 City Rd || 11 || Ready || 6 || 11 ||2018-03-21 00:57:22 */
2,847
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(20), `product_price` DECIMAL(19,4), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_price ||product_description 1 || dvds || 1322.78 || good condition */ CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details || city ||zip_postcode ||state_province_county ||country 1 ||92283 Lora Forges Suite 322 ||Mohrville || 271 || Nebraska || USA */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(10) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `date_became_customer` DATETIME ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email ||date_became_customer 1 || Visa || Ron Emard ||1-382-503-5179x53639 ||[email protected] || 2011-04-25 22:20:35 */ CREATE TABLE `Regular_Orders` ( `regular_order_id` INTEGER PRIMARY KEY, `distributer_id` INTEGER NOT NULL, FOREIGN KEY (`distributer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM regular_orders LIMIT 1; regular_order_id ||distributer_id 1 || 12 */ CREATE TABLE `Regular_Order_Products` ( `regular_order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`regular_order_id` ) REFERENCES `Regular_Orders`(`regular_order_id` ) ) /* 1 example row: SELECT * FROM regular_order_products LIMIT 1; regular_order_id ||product_id 5 || 3 */ CREATE TABLE `Actual_Orders` ( `actual_order_id` INTEGER PRIMARY KEY, `order_status_code` VARCHAR(10) NOT NULL, `regular_order_id` INTEGER NOT NULL, `actual_order_date` DATETIME, FOREIGN KEY (`regular_order_id` ) REFERENCES `Regular_Orders`(`regular_order_id` ) ) /* 1 example row: SELECT * FROM actual_orders LIMIT 1; actual_order_id ||order_status_code ||regular_order_id || actual_order_date 1 || Success || 8 ||2018-03-02 23:26:19 */ CREATE TABLE `Actual_Order_Products` ( `actual_order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`actual_order_id` ) REFERENCES `Actual_Orders`(`actual_order_id` ) ) /* 1 example row: SELECT * FROM actual_order_products LIMIT 1; actual_order_id ||product_id 2 || 1 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `address_type` VARCHAR(10) NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from ||address_type || date_to 5 || 6 ||2016-09-06 19:23:46 || House ||2018-02-25 15:34:58 */ CREATE TABLE `Delivery_Routes` ( `route_id` INTEGER PRIMARY KEY, `route_name` VARCHAR(50), `other_route_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM delivery_routes LIMIT 1; route_id ||route_name || other_route_details 1 ||Torphy Ltd ||16893 Wilderman Terrace Port Lucasburgh, ND 55978-5550 */ CREATE TABLE `Delivery_Route_Locations` ( `location_code` VARCHAR(10) PRIMARY KEY, `route_id` INTEGER NOT NULL, `location_address_id` INTEGER NOT NULL, `location_name` VARCHAR(50), FOREIGN KEY (`location_address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`route_id` ) REFERENCES `Delivery_Routes`(`route_id` ) ) /* 1 example row: SELECT * FROM delivery_route_locations LIMIT 1; location_code ||route_id ||location_address_id || location_name 27 City Rd || 11 || 5 ||Labadie-Crooks */ CREATE TABLE `Trucks` ( `truck_id` INTEGER PRIMARY KEY, `truck_licence_number` VARCHAR(20), `truck_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM trucks LIMIT 1; truck_id ||truck_licence_number ||truck_details 1 || 58110 || Frida */ CREATE TABLE `Employees` ( `employee_id` INTEGER PRIMARY KEY, `employee_address_id` INTEGER NOT NULL, `employee_name` VARCHAR(80), `employee_phone` VARCHAR(80), FOREIGN KEY (`employee_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||employee_address_id ||employee_name ||employee_phone 1 || 4 || Kacie || 716-650-2081 */ CREATE TABLE `Order_Deliveries` ( `location_code` VARCHAR(10) NOT NULL, `actual_order_id` INTEGER NOT NULL, `delivery_status_code` VARCHAR(10) NOT NULL, `driver_employee_id` INTEGER NOT NULL, `truck_id` INTEGER NOT NULL, `delivery_date` DATETIME, FOREIGN KEY (`truck_id` ) REFERENCES `Trucks`(`truck_id` ), FOREIGN KEY (`actual_order_id` ) REFERENCES `Actual_Orders`(`actual_order_id` ), FOREIGN KEY (`location_code` ) REFERENCES `Delivery_Route_Locations`(`location_code` ), FOREIGN KEY (`driver_employee_id` ) REFERENCES `Employees`(`employee_id` ) ) /* 1 example row: SELECT * FROM order_deliveries LIMIT 1; location_code ||actual_order_id ||delivery_status_code ||driver_employee_id ||truck_id || delivery_date 27 City Rd || 11 || Ready || 6 || 11 ||2018-03-21 00:57:22 */ ### Question Find the name of the most expensive product.
[query_database(**{'query': 'SELECT product_name FROM products ORDER BY product_price DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `Products` ( `product_id` INTEGER PRIMARY KEY, `product_name` VARCHAR(20), `product_price` DECIMAL(19,4), `product_description` VARCHAR(255) ) /* 1 example row: SELECT * FROM products LIMIT 1; product_id ||product_name ||product_price ||product_description 1 || dvds || 1322.78 || good condition */ CREATE TABLE `Addresses` ( `address_id` INTEGER PRIMARY KEY, `address_details` VARCHAR(80), `city` VARCHAR(50), `zip_postcode` VARCHAR(20), `state_province_county` VARCHAR(50), `country` VARCHAR(50) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id || address_details || city ||zip_postcode ||state_province_county ||country 1 ||92283 Lora Forges Suite 322 ||Mohrville || 271 || Nebraska || USA */ CREATE TABLE `Customers` ( `customer_id` INTEGER PRIMARY KEY, `payment_method` VARCHAR(10) NOT NULL, `customer_name` VARCHAR(80), `customer_phone` VARCHAR(80), `customer_email` VARCHAR(80), `date_became_customer` DATETIME ) /* 1 example row: SELECT * FROM customers LIMIT 1; customer_id ||payment_method ||customer_name || customer_phone || customer_email ||date_became_customer 1 || Visa || Ron Emard ||1-382-503-5179x53639 ||[email protected] || 2011-04-25 22:20:35 */ CREATE TABLE `Regular_Orders` ( `regular_order_id` INTEGER PRIMARY KEY, `distributer_id` INTEGER NOT NULL, FOREIGN KEY (`distributer_id` ) REFERENCES `Customers`(`customer_id` ) ) /* 1 example row: SELECT * FROM regular_orders LIMIT 1; regular_order_id ||distributer_id 1 || 12 */ CREATE TABLE `Regular_Order_Products` ( `regular_order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`regular_order_id` ) REFERENCES `Regular_Orders`(`regular_order_id` ) ) /* 1 example row: SELECT * FROM regular_order_products LIMIT 1; regular_order_id ||product_id 5 || 3 */ CREATE TABLE `Actual_Orders` ( `actual_order_id` INTEGER PRIMARY KEY, `order_status_code` VARCHAR(10) NOT NULL, `regular_order_id` INTEGER NOT NULL, `actual_order_date` DATETIME, FOREIGN KEY (`regular_order_id` ) REFERENCES `Regular_Orders`(`regular_order_id` ) ) /* 1 example row: SELECT * FROM actual_orders LIMIT 1; actual_order_id ||order_status_code ||regular_order_id || actual_order_date 1 || Success || 8 ||2018-03-02 23:26:19 */ CREATE TABLE `Actual_Order_Products` ( `actual_order_id` INTEGER NOT NULL, `product_id` INTEGER NOT NULL, FOREIGN KEY (`product_id` ) REFERENCES `Products`(`product_id` ), FOREIGN KEY (`actual_order_id` ) REFERENCES `Actual_Orders`(`actual_order_id` ) ) /* 1 example row: SELECT * FROM actual_order_products LIMIT 1; actual_order_id ||product_id 2 || 1 */ CREATE TABLE `Customer_Addresses` ( `customer_id` INTEGER NOT NULL, `address_id` INTEGER NOT NULL, `date_from` DATETIME NOT NULL, `address_type` VARCHAR(10) NOT NULL, `date_to` DATETIME, FOREIGN KEY (`customer_id` ) REFERENCES `Customers`(`customer_id` ), FOREIGN KEY (`address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM customer_addresses LIMIT 1; customer_id ||address_id || date_from ||address_type || date_to 5 || 6 ||2016-09-06 19:23:46 || House ||2018-02-25 15:34:58 */ CREATE TABLE `Delivery_Routes` ( `route_id` INTEGER PRIMARY KEY, `route_name` VARCHAR(50), `other_route_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM delivery_routes LIMIT 1; route_id ||route_name || other_route_details 1 ||Torphy Ltd ||16893 Wilderman Terrace Port Lucasburgh, ND 55978-5550 */ CREATE TABLE `Delivery_Route_Locations` ( `location_code` VARCHAR(10) PRIMARY KEY, `route_id` INTEGER NOT NULL, `location_address_id` INTEGER NOT NULL, `location_name` VARCHAR(50), FOREIGN KEY (`location_address_id` ) REFERENCES `Addresses`(`address_id` ), FOREIGN KEY (`route_id` ) REFERENCES `Delivery_Routes`(`route_id` ) ) /* 1 example row: SELECT * FROM delivery_route_locations LIMIT 1; location_code ||route_id ||location_address_id || location_name 27 City Rd || 11 || 5 ||Labadie-Crooks */ CREATE TABLE `Trucks` ( `truck_id` INTEGER PRIMARY KEY, `truck_licence_number` VARCHAR(20), `truck_details` VARCHAR(255) ) /* 1 example row: SELECT * FROM trucks LIMIT 1; truck_id ||truck_licence_number ||truck_details 1 || 58110 || Frida */ CREATE TABLE `Employees` ( `employee_id` INTEGER PRIMARY KEY, `employee_address_id` INTEGER NOT NULL, `employee_name` VARCHAR(80), `employee_phone` VARCHAR(80), FOREIGN KEY (`employee_address_id` ) REFERENCES `Addresses`(`address_id` ) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||employee_address_id ||employee_name ||employee_phone 1 || 4 || Kacie || 716-650-2081 */ CREATE TABLE `Order_Deliveries` ( `location_code` VARCHAR(10) NOT NULL, `actual_order_id` INTEGER NOT NULL, `delivery_status_code` VARCHAR(10) NOT NULL, `driver_employee_id` INTEGER NOT NULL, `truck_id` INTEGER NOT NULL, `delivery_date` DATETIME, FOREIGN KEY (`truck_id` ) REFERENCES `Trucks`(`truck_id` ), FOREIGN KEY (`actual_order_id` ) REFERENCES `Actual_Orders`(`actual_order_id` ), FOREIGN KEY (`location_code` ) REFERENCES `Delivery_Route_Locations`(`location_code` ), FOREIGN KEY (`driver_employee_id` ) REFERENCES `Employees`(`employee_id` ) ) /* 1 example row: SELECT * FROM order_deliveries LIMIT 1; location_code ||actual_order_id ||delivery_status_code ||driver_employee_id ||truck_id || delivery_date 27 City Rd || 11 || Ready || 6 || 11 ||2018-03-21 00:57:22 */