Definition: In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.

Positive Example 1 -
Input: Text: The Mansfield Building Society is a UK building society which has its headquarters in Mansfield Nottinghamshire. It is a member of the Building Societies Association. 
Question: The document can be classified to which topic? Options: 1)Animal, 2)Plant, 3)Building, 4)Company, 5)WrittenWork
Output: 3

Positive Example 2 -
Input: Text:  The third and current HMS Argyll is a Type 23 'Duke' Class frigate. She is currently the oldest serving Type 23 frigate in the Royal Navy. Like all of her class she is named for a British dukedom in this case that of Argyll. 
Question: The document can be classified to which topic? Options: 1)Animal, 2)MeanOfTransportation, 3)Building, 4)Company, 5)WrittenWork
Output: 2

Negative Example 1 -
Input: Text: The Mansfield Building Society is a UK building society which has its headquarters in Mansfield Nottinghamshire. It is a member of the Building Societies Association. 
Question: The document can be classified to which topic? Options: 1)Animal, 2)Plant, 3)Building, 4)Company, 5)WrittenWork
Output: No

Negative Example 2 -
Input: Text:  The third and current HMS Argyll is a Type 23 'Duke' Class frigate. She is currently the oldest serving Type 23 frigate in the Royal Navy. Like all of her class she is named for a British dukedom in this case that of Argyll. 
Question: The document can be classified to which topic? Options: 1)Animal, 2)Plant, 3)Building, 4)Company, 5)WrittenWork
Output: 5

Now complete the following example -
Input: Context: Mama Sana (1900-1997) was a Tandroy singer and performer of traditional airs on the valiha tube zither the national instrument of Madagascar. She was a charismatic performer and dressed in traditional clothing with coins braided into her hair.
Question: The document can be classified to which topic? 
Options: 1)NaturalPlace, 2)Artist, 3)OfficeHolder, 4)Athlete
Output: 


Output: 2