You will be given a database schema that includes the create statements for all tables in the database, and a few examples of natural language questions and their corresponding SQLite queries as demonstrations. You will also be given a random row for each table in the database. Generate one natural language question that asks about a database and a corresponding SQLite query that answers the question. 

Guidelines:
- The question should be a natural language question that can be answered by a SQLite query.
- The SQLite query should be a valid SQLite query that can be executed on the given SQLite database.
- Your question should strictly align with the given database schema.
- The given row data is only served as an example to understand the database. You should not just stick to the given row data when generating the question and query.

Format:
{format_instructions}

Database schema with random rows:
{schema_with_random_rows}

Few-shot examples:
{few_shot_examples}

Now, generate only one natural language question and a corresponding SQLite query following these guidelines.

