ERROR: Unable to tag this string because more than one area of the string has the same label

[cvsanthosh]

I have an address like this which is in a dataset which ofcourse is not proper. "333 Wilkerson Ave., Stes. B & C, Perris, CA; 4262 Riverfield Ct., Riverside, CA ".

I have python code as follows.
tagged_address, address_type = usaddress.tag(row['ADDRESS'],tag_mapping={
'Recipient': 'recipient',
'AddressNumber': 'address1',
'AddressNumberPrefix': 'address1',
'AddressNumberSuffix': 'address1',
'StreetName': 'address1',
'StreetNamePreDirectional': 'address1',
'StreetNamePreModifier': 'address1',
'StreetNamePreType': 'address1',
'StreetNamePostDirectional': 'address1',
'StreetNamePostModifier': 'address1',
'StreetNamePostType': 'address1',
'CornerOf': 'address1',
'IntersectionSeparator': 'address1',
'LandmarkName': 'address1',
'USPSBoxGroupID': 'address1',
'USPSBoxGroupType': 'address1',
'USPSBoxID': 'address1',
'USPSBoxType': 'address1',
'BuildingName': 'address2',
'OccupancyType': 'address2',
'OccupancyIdentifier': 'address2',
'SubaddressIdentifier': 'address2',
'SubaddressType': 'address2',
'PlaceName': 'city',
'StateName': 'state',
'ZipCode': 'zip_code',
})

The code errors out saying

RepeatedLabelError:
ERROR: Unable to tag this string because more than one area of the string has the same label

ORIGINAL STRING: 333 Wilkerson Ave., Stes. B & C, Perris, CA; 4262 Riverfield Ct., Riverside, CA
PARSED TOKENS: [('333', 'AddressNumber'), ('Wilkerson', 'StreetName'), ('Ave.,', 'StreetNamePostType'), ('Stes.', 'PlaceName'), ('B', 'PlaceName'), ('&', 'PlaceName'), ('C,', 'PlaceName'), ('Perris,', 'PlaceName'), ('CA;', 'StateName'), ('4262', 'AddressNumber'), ('Riverfield', 'StreetName'), ('Ct.,', 'StreetNamePostType'), ('Riverside,', 'PlaceName'), ('CA', 'StateName')]
UNCERTAIN LABEL: address1

When this error is raised, it's likely that either (1) the string is not a valid person/corporation name or (2) some tokens were labeled incorrectly

To report an error in labeling a valid name, open an issue at https://github.com/datamade/usaddress/issues/new - it'll help us continue to improve probablepeople!

For more information, see the documentation at https://usaddress.readthedocs.io/