我有两个文件夹，每个文件夹包含各种.txt文件中的单词，一个文件夹名为“good”，而另一个文件夹名为“bad”，我想写一个Python脚本，将所有数据导入到dataframe中，dataframe将具有“Id”列，“word”列和“label”列。根据文件夹名称，label列将是“good”或“bad”。
我已经写了下面的Python脚本，但我似乎有文件编码类型的问题，我已经安装了'cahrdet'库来检测文件编码类型，但我仍然得到这个错误：

UnicodeDecodeError: 'cp949' codec can't decode byte 0xb7 in position 1400: illegal multibyte sequence

good_path = "myfolder/good"
bad_path = "myfolder/bad"

ids = []
words = []
labels = []

for filename in os.listdir(good_path):
    with open(os.path.join(good_path, filename), "rb") as f:
        result = chardet.detect(f.read())
        encoding = result["encoding"]
    with open(os.path.join(good_path, filename), "r", encoding=encoding) as f:
        word_content = f.read()
        ids.append(filename)
        words.append(word_content)
        labels.append("good")

for filename in os.listdir(bad_path):
    with open(os.path.join(bad_path, filename), "rb") as f:
        result = chardet.detect(f.read())
        encoding = result["encoding"]
    with open(os.path.join(bad_path, filename), "r", encoding=encoding) as f:
        word_content = f.read()
        ids.append(filename)
        words.append(word_content)
        labels.append("bad")

# Create a dataframe from the lists
df = pd.DataFrame({"Id": ids, "words": words, "label": labels})