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 to prepare for the GMAT?
Output: 



Output:
any specific company on your mind
what score would you like to achieve on the gmat test
when do you want to take a gmat prep class
would you like to know more about the gmat test
would you like to know what distinguishes gmat from gre
would you like to see a price range for gmat prep classes
would you like to see the most effective methods of gmat prep
are you looking for a specific web site
are you looking for an online or inperson gmat prep class
are you looking for gmat prep classes near you
are you looking for reviews of gmat prep classes
are you looking for some sample tests
do you feel unprepared for the gmat test
do you want to know a list of top gmat prep classes
do you want to know the cost of a gmat prep class