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 weather stripping
Output: 



Output:
are you interested in weather strips for doors
would you like to know where to buy weather strips
would you like to learn about weather stripping
would you like to purchase a weather stripping product
are you interested in weather strips for windows
do you want to learn how to install weater strips on windows
do you want to learn how to install weather strips on doors
would you like information about installing weather stripping
would you like to compare different weather stripping products
would you like to know if it is possible to weather strip a car
would you like to know more about sliding glass doors
would you like to know what a weather strip is