Remove duplicates from dataframe, based on two columns A,B, keeping [list of values] in another column C

Question

I have a pandas dataframe which contains duplicates values according to two columns (A and B):

A B C
1 2 1
1 2 4
2 7 1
3 4 0
3 4 8

I want to remove duplicates keeping the values in column C inside a list of len N values in C (example 2 values in this example). This would lead to:

A B C
1 2 [1,4]
2 7 1
3 4 [0,8]

I cannot figure out how to do that. Maybe use groupby and drop_duplicates?