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 about Mitchell College.
Output: 



Output:
are you interested in a specific web page
what state is mitchell college in
would you like directions to mitchell college
would you like to know mitchell colleges acceptance rate
would you like to know about the admission procedure of mitchel college
are you interested in the ranking of mitchell college
are you looking for mitchell colleges course catelog
are you looking for mitchell colleges tuition rates
are you looking for information on mitchell college in connecticut
are you looking for pages that compare mitchell college with others
are you referring to the college in new london conneticut
do you want to know when the next semester starts at mitchell college
should i request an application to mitchell college