Definition: Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and your task is to ask a good clarifying question to understand the given question/query more precisely.

Positive Example 1 -
Input: Tell me about defender
Output: are you referring to the arcade game called defender

Positive Example 2 -
Input: I'm looking for information on hobby stores
Output: what location do you want to find a hobby store in

Negative Example 1 -
Input: Find me information about the Ritz Carlton Lake Las Vegas.
Output: do you want information about Ritz Carlton Lake now or later

Negative Example 2 -
Input: I'm looking for information on hobby stores
Output: why are you looking for information on stores

Now complete the following example -
Input: What is equal opportunity employer?
Output: 



Output:
are you looking for a specific web page
would you like to know the history of the equal opportunity employer act
would you like to know what the equal opportunity employer act is
would you like to see how to meet the legal requirement to be an equal opportunity employer
would you like to see jobs around you that are equal opportunity employers
would you like to see the legal definition of equal opportunity employer
are you looking for anything specific in terms of equal opportunity discrimination
are you looking for specific information regarding an equal opportunity employer
do you need information about a specific employer
do you want to know what being an equal opportunity employer means
what do you need to know about equal opportunity employment
what information would you like in regards to an equal opportunity employer
would you like to know if you are eligible for equal opportunity employment
would you like to know if your company adheres to equal opportunity employment