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: Find information on hip fractures
Output: 



Output:
are you interested in any specific statistics for fractures
do you want to know where to get treatment for a hip fracture
were you looking for the causes of hip fractures
which age group is of more interest to you
are you interested in the age breakdown of common hip fracture sufferers
are you interested in treatments for hip fractures
are you referring to the injury
do you need info on remedies
do you need the cause of the injury
do you need to know what are symptoms of the injury
do you want to know how to treat the injury
do you want to know what the symptoms of a hip fracture are