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 are treatments for carotid cavernous fistula?
Output: 



Output:
are you looking for a specific carotid cavernous fistula treatment
do you want to know more about carotid cavernous fistula treatment
do you want to know the cost of a carotid cavernous fistula treatment
how is a carotid cavernous fistula diagnosed
how long does it take to treat carotid cavernous fistula
what are the symptoms of cavernous fistula
what causes carotid cavernous fistula
what is carotid cavernous fistula
would you like to search for a doctor for a carotid cavernous fistula treatment