如何加载压缩形式的SVMlight格式的文件到pandas？

import pandas as pd
import numpy as np
import gzip

def load_svm_light_file(file_path):
    data = []
    target = []
    with gzip.open(file_path, 'rt') as f:
        for line in f:
            line = line.strip()
            if line:
                parts = line.split()
                target.append(float(parts[0]))
                features = {}
                for part in parts[1:]:
                    index, value = part.split(':')
                    features[int(index)] = float(value)
                data.append(features)
    return pd.DataFrame(data), pd.Series(target)

file_path = 'path/to/compressed_svm_light_file.gz'
df, target = load_svm_light_file(file_path)