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: tell me about diversity
Output: 



Output:
are you looking for a definition of diversity
what type of diversity do you need information about
would you like the legal definition of diversity
would you like to know how diversity helps or harms an organization
would you like to see results about diversity in a business setting
are you looking for a specific content related to diversity
are you looking for educational materials about diversity
are you looking for information on a specific diversity program
are you looking into diversity in hiring
do you need information on financial diversity
do you need the definition of diversity
in what setting do you need to know more about diversity
is there a specific type of diversity statistic you are looking for