def METHOD_NAME(mod_df: Any, mod: str) -> Any:
    """
    Creates a dataframe containing only the access size and count data.
    Parameters
    ----------
    mod_df: "counters" dataframe for the input
    module `mod` from a ``darshan.DarshanReport``.
    mod: the module to obtain the common accesses
    table for (i.e "POSIX", "MPI-IO", "H5D").
    Returns
    -------
    A ``pd.DataFrame`` containing all access size
    data and their respective counts.
    """
    col_dict = {"ACCESS": "Access Size", "COUNT": "Count"}
    df_list: List = []
    for counter_name, col_name in col_dict.items():
        # filter out any columns not related to the access sizes
        filter_keys = [f"{mod}_ACCESS{i}_{counter_name}" for i in range(1, 5)]
        df = mod_df.filter(filter_keys)
        df = collapse_access_cols(df=df, col_name=col_name)
        df_list.append(df)
    return pd.concat(df_list, axis=1)