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: The Midland Railway 130 Class was a class of 2-2-2 tender engines built intended for express passenger duties. They were disgned by Matthew Kirtley. In total 75 of the class were built in several batches between 1853 and 1866. Many were rebuilt by Samuel W. Johnson with cabs and new fireboxes after 1875.
Question: The document can be classified to which topic? 
Options: 1)OfficeHolder, 2)Athlete, 3)NaturalPlace, 4)Company, 5)MeanOfTransportation
Output: 


Output: 5