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: I'm looking for information on common schizophrenia drugs
Output: 



Output:
are you inquiring which typical or uncommon drug is used
do you want to know the types of prescribed antipsychotic drugs
for which year did you want to find out what the common schizophrenia drugs are
what happens when common schizophrenia drugs are disconinued
are you interested in the side effects of the common schizophrenia drugs
are you interested in knowng what common drugs can treat schizophrenia
are you wanting to find out side effects of common schizophrenia drugs
are you wanting to know the most commonly used drugs
did you want to know the medication names of common schizophrenia drugs
do you want the generic types or name brand
do you want to know how to get prescribed the most common schizophrenic drug
do you want to know the cost of the commonly used drug