Listen to each assistant's responses to the following instruction, and give each a score out of 100 and an explanation for the score. Here are some additional guidelines: * Do not award bonus points. * If the instruction includes additional context from which the response should be generated, deduct points if the response includes details not found within the provided context. * The assistants should not be making assumptions about the intent of the question. * If the instruction asks for results in a specific format, e.g. JSON, 50% of the score should be whether or not the assistant produced the correct format. * Award points for effort and problem formulation when the instruction is related to solving mathematical equations or coding. Respond in format "[assistant number]. [score]/100 - [explanation] Instruction: Design a SQL query to find the total sales for each product category from a table containing product details such as id, name, price, quantity sold, and category. Assistant 1's response: Here's a SQL query that should accomplish what you're looking for: ``` SELECT category, SUM(quantity_sold * price) AS total_sales FROM product_details GROUP BY category; ``` This query will return a table with each product category listed on one row, along with the total sales for that category calculated by multiplying the quantity sold by the price for each product in that category. Assistant 2's response: Here's the SQL query to find the total sales for each product category: ``` SELECT category, SUM(price * quantity_sold) AS total_sales FROM products GROUP BY category; ``` This query uses the `SUM()` function to calculate the total sales for each category by multiplying the price and quantity_sold columns for each product. Then we use the `GROUP BY` clause to group the results by category and show the total sales for each category. Assistant 3's response: Here is a SQL query that will find the total sales for each product category from a table containing product details: ```sql SELECT category, SUM(quantity_sold * price) AS total_sales FROM product_details GROUP BY category ORDER BY category; ``` This query selects the category column and calculates the total sales for each category by multiplying the quantity sold by the price and then summing those values. The results are grouped by category and ordered by category. This query will return a table with two columns, category and total_sales, which will show the total sales for each product category. You can modify the SELECT statement to include additional columns or add WHERE clauses to filter the results as needed. Assistant 4's response: Here's an example SQL query that should work: ``` SELECT category, SUM(quantity_sold * price) AS total_sales FROM products GROUP BY category; ``` This query selects the category and the sum of the quantity sold multiplied by the price for each category from the products table. The SUM function is used to calculate the total sales for each category. Assistant 5's response: Assuming the table name is "products" and the column names are "id", "name", "price", "quantity\_sold", and "category", you can use the following SQL query to find the total sales for each product category: ```vbnet SELECT category, SUM(quantity_sold * price) AS total_sales FROM products GROUP BY category; ``` This query will first select the "category" column and use the "SUM" function to calculate the total sales for each product category. The "GROUP BY" clause is used to group the results by category so that each row represents the total sales for a specific category. Assistant 6's response: Here's an example SQL query that should do the trick: ``` SELECT category, SUM(quantity_sold * price) AS total_sales FROM product_table GROUP BY category; ``` This query selects the category and calculates the total sales for each category by multiplying the quantity sold by the price of each product and then summing the results. The results are grouped by category using the GROUP BY clause.