how to read .dat dataset files in pandas

read_dat_file.py

import re

def read_dot_dat_file(path):
    datContent = [i.strip().split() for i in open(path).readlines()]
    r = re.compile("@inputs.*")
    _at_data = datContent.index(['@data'])
    assert datContent[0][0] == '@relation'
    assert datContent[_at_data-1][0] == '@outputs'
    assert datContent[_at_data-2][0] == '@inputs'
    assert len(datContent[_at_data-3][2:]) == 2   # Two Class

    col_names = datContent[_at_data-2][1:]
    col_names.append(datContent[_at_data-1][1])

    df = pd.read_csv(path, skiprows=_at_data+1, names=col_names, sep=r', ', engine='python')
    # df = pd.read_csv(path, skiprows=_at_data+1, names=col_names, sep=", ", engine='python')

    class1 = datContent[_at_data-3][2:][0].replace("{","").replace(",","")
    class2 = datContent[_at_data-3][2:][1].replace("}","").replace(",","")

    df['Class'] = df['Class'].replace({class1: 1, class2: -1})
    
    return df