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: Let's see frank lloyd wright biography
Output: 



Output:
are you interested in how frank lloyd wright became an architect
would you like to read some of frank lloyd wrights writings
would you like to see a list of frank lloyd wrights most notable works
are you looking for frank lloyd wrights family tree
do you want to see a list of frank lloyd wrights most famouss works
want to see a list of vacation destinations that include architecture designed by frank lloyd wright
would you like a list of photographs commonly associated with biographies involving frank lloyd wright
would you like a list of the best biographies for frank lloyd wright
would you like to know about frank lloyd wrights family
would you like to know where frank lloyd wright did most of his work
would you like to know where frank lloyd wright was born