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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 maximum and mininum number of stars a rating can receive?
[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 the directors who created a movie with a 5 star rating, and what was the name of those 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 What are the titles of all movies that have not been rated?
[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 */
2,463
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 the oldest movie listed, what is its average rating and title?
[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 highest rating for the most recent movie and when was it released?
[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 all movies that have a rating higher than the average James Cameron film rating?
[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 What are the names of all reviewers that have rated 3 or more movies?
[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 What are the names of all directors whose movies have been reviewed 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 What are the names of all the reviewers and movie names?
[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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 have directed more than one movie, what movies have they directed and what are their names?
[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 the directors who made exactly one movie?
[query_database(**{'query': 'SELECT director FROM Movie GROUP BY director HAVING count(*) = 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question How many movie reviews does each director get?
[query_database(**{'query': 'SELECT count(*) , T1.director FROM Movie AS T1 JOIN Rating AS T2 ON T1.mID = T2.mID GROUP BY T1.director'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the movie titles and average rating of the movies with the lowest average rating?
[query_database(**{'query': 'SELECT T2.title , avg(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T1.mID ORDER BY avg(T1.stars) LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question For each director, return the director's name together with the title of the movie they directed that received the highest rating among all of their movies, and the value of that rating. Ignore movies whose director is NULL.
[query_database(**{'query': 'SELECT T2.title , T1.stars , T2.director , max(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE director != "null" GROUP BY director'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question Find the title and score of the movie with the lowest rating among all movies directed by each director.
[query_database(**{'query': 'SELECT T2.title , T1.stars , T2.director , min(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T2.director'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
2,510
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the titles of all movies that have rating star is between 3 and 5?
[query_database(**{'query': 'SELECT T2.title FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T1.stars BETWEEN 3 AND 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question Find the average rating star for each movie that are not reviewed by Brittany Harris.
[query_database(**{'query': 'SELECT mID , avg(stars) FROM Rating WHERE mID NOT IN (SELECT T1.mID FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID WHERE T2.name = "Brittany Harris") GROUP BY mID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question Find the average rating star for each movie that received at least 2 ratings.
[query_database(**{'query': 'SELECT mID , avg(stars) FROM Rating GROUP BY mID HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the ids of all reviewers who have not given 4 stars at least once?
[query_database(**{'query': 'SELECT rID FROM Rating WHERE stars != 4'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 made before 1980 or had James Cameron as the director?
[query_database(**{'query': 'SELECT title FROM Movie WHERE director = "James Cameron" OR YEAR < 1980'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the names of all movies that received 3 or 4 stars?
[query_database(**{'query': 'SELECT T2.title FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T1.stars = 3 INTERSECT SELECT T2.title FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T1.stars = 4'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question What are the names of the counties of public safety, ordered by population descending?
[query_database(**{'query': 'SELECT Name FROM county_public_safety ORDER BY Population DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question Return the minimum and maximum crime rates across all counties.
[query_database(**{'query': 'SELECT min(Crime_rate) , max(Crime_rate) FROM county_public_safety'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question Return the names of cities, ordered alphabetically.
[query_database(**{'query': 'SELECT Name FROM city ORDER BY Name ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question What is the name of the county with the greatest population?
[query_database(**{'query': 'SELECT Name FROM county_public_safety ORDER BY Population DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question What are the names of cities, as well as the names of the counties they correspond to?
[query_database(**{'query': 'SELECT T1.Name , T2.Name FROM city AS T1 JOIN county_public_safety AS T2 ON T1.County_ID = T2.County_ID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question Show the name of cities in the county that has the largest number of police officers.
[query_database(**{'query': 'SELECT name FROM city WHERE county_ID = (SELECT county_ID FROM county_public_safety ORDER BY Police_officers DESC LIMIT 1)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question Show the crime rate of counties with a city having white percentage more than 90.
[query_database(**{'query': 'SELECT T2.Crime_rate FROM city AS T1 JOIN county_public_safety AS T2 ON T1.County_ID = T2.County_ID WHERE T1.White > 90'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question What is the location shared by most counties?
[query_database(**{'query': 'SELECT LOCATION FROM county_public_safety GROUP BY LOCATION ORDER BY COUNT(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question Show the police force shared by counties with location on the east and west.
[query_database(**{'query': 'SELECT Police_force FROM county_public_safety WHERE LOCATION = "East" INTERSECT SELECT Police_force FROM county_public_safety WHERE LOCATION = "West"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */ ### Question Show the case burden of counties in descending order of population.
[query_database(**{'query': 'SELECT Case_burden FROM county_public_safety ORDER BY Population DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "county_public_safety" ( "County_ID" int, "Name" text, "Population" int, "Police_officers" int, "Residents_per_officer" int, "Case_burden" int, "Crime_rate" real, "Police_force" text, "Location" text, PRIMARY KEY ("County_ID") ) /* 1 example row: SELECT * FROM county_public_safety LIMIT 1; County_ID || Name ||Population ||Police_officers ||Residents_per_officer ||Case_burden ||Crime_rate || Police_force ||Location 1 ||Abbotsford || 128165 || 187 || 685 || 81 || 118.0 ||Abbotsford Police Department || East */ CREATE TABLE "city" ( "City_ID" int, "County_ID" int, "Name" text, "White" real, "Black" real, "Amerindian" real, "Asian" real, "Multiracial" real, "Hispanic" real, PRIMARY KEY ("City_ID"), FOREIGN KEY ("County_ID") REFERENCES "county_public_safety"("County_ID") ) /* 1 example row: SELECT * FROM city LIMIT 1; City_ID ||County_ID || Name ||White ||Black ||Amerindian ||Asian ||Multiracial ||Hispanic 1 || 1 ||Adjuntas || 93.1 || 3.1 || 0.3 || 0.0 || 3.4 || 99.6 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find all the rooms that have a price higher than 160 and can accommodate more than 2 people. Report room names and ids.
[query_database(**{'query': 'SELECT roomName , RoomId FROM Rooms WHERE basePrice > 160 AND maxOccupancy > 2;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question How many kids stay in the rooms reserved by ROY SWEAZY?
[query_database(**{'query': 'SELECT kids FROM Reservations WHERE FirstName = "ROY" AND LastName = "SWEAZY";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Which room has the highest rate? List the room's full name, rate, check in and check out date.
[query_database(**{'query': 'SELECT T2.roomName , T1.Rate , T1.CheckIn , T1.CheckOut FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId GROUP BY T1.Room ORDER BY T1.Rate DESC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question How many kids stay in the room DAMIEN TRACHSEL checked in on Sep 21, 2010?
[query_database(**{'query': 'SELECT Kids FROM Reservations WHERE CheckIn = "2010-09-21" AND FirstName = "DAMIEN" AND LastName = "TRACHSEL";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question List the names and decor of rooms that have a king bed. Sort the list by their price.
[query_database(**{'query': 'SELECT roomName , decor FROM Rooms WHERE bedtype = 'King' ORDER BY basePrice;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question What is the decor of room Recluse and defiance?
[query_database(**{'query': 'SELECT decor FROM Rooms WHERE roomName = "Recluse and defiance";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question What is the total number of people who could stay in the modern rooms in this inn?
[query_database(**{'query': 'SELECT sum(maxOccupancy) FROM Rooms WHERE decor = 'modern';'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question List how many times the number of people in the room reached the maximum occupancy of the room. The number of people include adults and kids.
[query_database(**{'query': 'SELECT count(*) FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId WHERE T2.maxOccupancy = T1.Adults + T1.Kids;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question How many rooms are there?
[query_database(**{'query': 'SELECT count(*) FROM Rooms;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the number of rooms for each bed type.
[query_database(**{'query': 'SELECT bedType , count(*) FROM Rooms GROUP BY bedType;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the id and name of the most expensive base price room.
[query_database(**{'query': 'SELECT RoomId , roomName FROM Rooms ORDER BY basePrice DESC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question Find the number of rooms with king bed for each decor type.
[query_database(**{'query': 'SELECT decor , count(*) FROM Rooms WHERE bedType = "King" GROUP BY decor;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question List the name of all rooms sorted by their prices.
[query_database(**{'query': 'SELECT roomName FROM Rooms ORDER BY basePrice;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Rooms" ( "RoomId" TEXT PRIMARY KEY, "roomName" TEXT, "beds" INTEGER, "bedType" TEXT, "maxOccupancy" INTEGER, "basePrice" INTEGER, "decor" TEXT ) /* 1 example row: SELECT * FROM rooms LIMIT 1; RoomId || roomName ||beds ||bedType ||maxOccupancy ||basePrice || decor RND ||Recluse and defiance || 1 || King || 2 || 150 ||modern */ CREATE TABLE "Reservations" ( "Code" INTEGER PRIMARY KEY, "Room" TEXT, "CheckIn" TEXT, "CheckOut" TEXT, "Rate" REAL, "LastName" TEXT, "FirstName" TEXT, "Adults" INTEGER, "Kids" INTEGER, FOREIGN KEY (Room) REFERENCES Rooms(RoomId) ) /* 1 example row: SELECT * FROM reservations LIMIT 1; Code ||Room || CheckIn || CheckOut || Rate ||LastName ||FirstName ||Adults ||Kids 10105 || HBB ||23-OCT-10 ||25-OCT-10 ||100.0 || SELBIG || CONRAD || 1 || 0 */ ### Question How many rooms cost more than 120, for each different decor?
[query_database(**{'query': 'SELECT decor , count(*) FROM Rooms WHERE basePrice > 120 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 What are the names of rooms that have either 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 What are the name and id of the three highest priced 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 Find the number of rooms that do not have any reservation.
[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 names of rooms that have been reserved for more than 60 times.
[query_database(**{'query': 'SELECT T2.roomName FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId GROUP BY T1.Room HAVING count(*) > 60'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 booked by some customers whose first name contains ROY.
[query_database(**{'query': 'SELECT T2.roomName FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId WHERE firstname LIKE '%ROY%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many business rates are related to each cmi cross reference? List cross reference id, master customer id and the n
[query_database(**{'query': 'SELECT T2.cmi_cross_ref_id , T2.master_customer_id , count(*) FROM Business_Rates AS T1 JOIN CMI_Cross_References AS T2 ON T1.cmi_cross_ref_id = T2.cmi_cross_ref_id GROUP BY T2.cmi_cross_ref_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 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 */
2,652
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 register ids of electoral registries that have the cross reference source system code 'Electoral' or 'Tax'?
[query_database(**{'query': 'SELECT T1.electoral_register_id FROM Electoral_Register AS T1 JOIN CMI_Cross_References AS T2 ON T1.cmi_cross_ref_id = T2.cmi_cross_ref_id WHERE T2.source_system_code = 'Electoral' OR 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 */
2,656
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many council taxes are collected for renting arrears ?
[query_database(**{'query': 'SELECT count(*) FROM rent_arrears'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 "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 How many parties are there?
[query_database(**{'query': 'SELECT count(*) 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 Give me the theme and location of each party.
[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 Compute the average number of hosts for parties.
[query_database(**{'query': 'SELECT avg(Number_of_hosts) 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 How many hosts does each nationality have? List the nationality and the count.
[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 nationality has the most hosts?
[query_database(**{'query': 'SELECT Nationality FROM HOST GROUP BY Nationality 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 "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 For each party, return its theme and the name of its host.
[query_database(**{'query': 'SELECT T3.Party_Theme , 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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 parties have hosts of age above 50? Give me the party locations.
[query_database(**{'query': 'SELECT T3.Location 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 T2.Age > 50'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 name and the nationality of the host of the highest age?
[query_database(**{'query': 'SELECT Name , Nationality FROM HOST ORDER BY Age DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 How many regions do we have?
[query_database(**{'query': 'SELECT count(*) FROM 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 List all region names in alphabetical order.
[query_database(**{'query': 'SELECT region_name FROM region ORDER BY region_name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 storms had death records?
[query_database(**{'query': 'SELECT count(*) FROM storm WHERE Number_Deaths > 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 "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 average and maximum damage for all storms with max speed higher than 1000.
[query_database(**{'query': 'SELECT avg(damage_millions_USD) , max(damage_millions_USD) FROM storm WHERE max_speed > 1000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and damage for all storms in a descending order of max speed.
[query_database(**{'query': 'SELECT name , damage_millions_USD FROM storm ORDER BY max_speed 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 "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 not affected.
[query_database(**{'query': 'SELECT region_name FROM region WHERE region_id NOT IN (SELECT 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 List the name for storms and the number of affected regions for each storm.
[query_database(**{'query': 'SELECT T1.name , count(*) FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_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 Show the name of storms which don't have affected region in record.
[query_database(**{'query': 'SELECT name FROM storm WHERE storm_id NOT IN (SELECT storm_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 all storm names except for those with at least two affected regions.
[query_database(**{'query': 'SELECT name FROM storm EXCEPT 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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all storm names affecting region "Denmark".
[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 = '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 Find the names of the regions which were affected by the storm that killed the greatest number of people.
[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 ORDER BY T3.Number_Deaths 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 "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 How many counties are there in total?
[query_database(**{'query': 'SELECT count(*) 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name and population of each county?
[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 */
2,741
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 maximum and minimum population of the 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 */
2,745
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 is the zip code the county named "Howard" is located in?
[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 */
2,749
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 delegate and committee information for each election record?
[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 */
2,753
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are 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 */
2,757
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 information for each election record.
[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 Find the delegates who are from counties with population below 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 Which county do the delegates on "Appropriations" committee belong to? Give me the county names.
[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 Find the parties associated with the delegates from district 1. Who served as governors of the parties?
[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 Which committees have delegates from the 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 party, return the name of the party and the number of delegates from that party.
[query_database(**{'query': 'SELECT T2.Party , COUNT(*) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T1.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 "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 */
2,781
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Sort the names of all counties 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 */
2,785
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 3 counties that have the smallest population? Give me the county names.
[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 Which party has two or more 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 */
2,793
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 people severed as governor most frequently?
[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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 parties did not have any delegates in elections?
[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 */
2,801
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Find the committees that have delegates both from from the democratic party and the 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 Show the names of journalists from "England" or "Wales".
[query_database(**{'query': 'SELECT Name FROM journalist WHERE Nationality = "England" OR Nationality = "Wales"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 most common nationality for journalists.
[query_database(**{'query': 'SELECT Nationality FROM journalist GROUP BY Nationality 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 "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 names of journalists and the names of the events they reported in ascending order
[query_database(**{'query': 'SELECT T3.Name , T2.Name FROM news_report AS T1 JOIN event AS T2 ON T1.Event_ID = T2.Event_ID JOIN journalist AS T3 ON T1.journalist_ID = T3.journalist_ID ORDER BY T2.Event_Attendance 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 "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 are the average and maximum attendances of all events?
[query_database(**{'query': 'SELECT avg(Event_Attendance) , max(Event_Attendance) FROM event'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 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 address of the restaurant Subway?
[query_database(**{'query': 'SELECT Address FROM Restaurant WHERE 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 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 restaurants have highest rating? List the restaurant name and its rating.
[query_database(**{'query': 'SELECT ResName , Rating FROM Restaurant ORDER BY Rating 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 */
2,829
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 city does student Linda Smith live in?
[query_database(**{'query': 'SELECT city_code 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 */
2,833
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 major has between 2 and 30 number of students? List major and the number of students.
[query_database(**{'query': 'SELECT Major , count(*) FROM Student GROUP BY Major HAVING count(Major) BETWEEN 2 AND 30;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How long does student Linda Smith spend on the restaurant in total?
[query_database(**{'query': 'SELECT sum(Spent) FROM Student JOIN Visits_Restaurant ON Student.StuID = Visits_Restaurant.StuID WHERE Student.Fname = "Linda" AND Student.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 student visited restaurant most often? List student's first name and last name.
[query_database(**{'query': 'SELECT Student.Fname , Student.Lname FROM Student JOIN Visits_Restaurant ON Student.StuID = Visits_Restaurant.StuID GROUP BY Student.StuID ORDER BY count(*) DESC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Student ( StuID INTEGER PRIMARY KEY, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) /* 1 example row: SELECT * FROM student LIMIT 1; StuID ||LName ||Fname ||Age ||Sex ||Major ||Advisor ||city_code 1001 ||Smith ||Linda || 18 || F || 600 || 1121 || BAL */ CREATE TABLE 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 */