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: How do I get my free annual credit report?
Output: 



Output:
are you interested in a list of companies in which you can get credit reports
would you like to know about the process of disputing credit report
would you like to know more about a certain credit reporting company
would you like to know more about free credit reports
would you want to know credit report scores
would you want to know what is in a credit report
may i provide you a list of best credit reporting agencies
are you interested in learning how to read your credit report
are you interested in learning if your credit report is safe
are you wanting a copy of your credit report
do you want information on how to keep your credit report good
do you want information on what is in a credt report
do you want to know how to obtain someones credit report
wou you like to know more about 3in1 credit reports
would you like to know about credit scores