Adding column to the group-by DataFrame

Question

I have a DataFrame like this:

YEAR	STATE_ABBR	STATE_NAME	VICTIM_COUNT
1991	AR	Arkansas	2
1991	AR	Arkansas	1
1991	NY	New York	1
....	....	....	....
2020	NJ	New Jersey	3
2020	NJ	New Jersey	1
2020	NJ	New Jersey	1

I want to see the number of occurence of each states per year from 1991 to 2020, so I use groupby().

raw_csv_data = pd.read_csv('hate_crime.csv')
raw_csv_data["STATE_ABBR"].groupby(raw_csv_data["DATA_YEAR"]).value_counts()

And I got a Series as the result:

DATA_YEAR  STATE_ABBR
1991       NY            943
           NJ            894
           MD            431
           OR            296
           PA            277
                        ... 
2020       WY             18
           SD             17
           RI             14
           DE             13
           AK             10

Is there any ways that I can achieved a DataFrame like this:

DATA_YEAR  STATE_ABBR       STATE_NAME             COUNT
1991       NY                New York               943
           NJ                New Jersey             894
           MD                Maryland               431
           OR                 Oregon                296
           PA                Pennsylvania           277
                        ... 
2020       WY                  Wyoming                18
           SD                  South Dakota           17
           RI                  Rhode Island           14
           DE                  Delaware               13
           AK                   Alaska                10