我有一个超过1000个txt文件的数据集，其中包含书籍的信息

The Project Gutenberg EBook of Apocolocyntosis, by Lucius Seneca

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almost no restrictions whatsoever.  You may copy it, give it away or
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with this eBook or online at www.gutenberg.org

Title: Apocolocyntosis

Author: Lucius Seneca

Release Date: November 10, 2003 [EBook #10001]
[Date last updated: April 9, 2005]

Language: English

Character set encoding: ASCII

*** START OF THIS PROJECT GUTENBERG EBOOK APOCOLOCYNTOSIS ***

我尝试使用panda来读取这些文件，并从中创建一个数据框，将标题、作者、发布日期和语言作为列及其值，但到目前为止，我一直遇到错误
从单个文件阅读

df = pd.read_csv('dataset/10001.txt')

错误

ParserError                               Traceback (most recent call last)
Input In [30], in <cell line: 1>()
----> 1 df = pd.read_csv('dataset/10001.txt')

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\site-packages\pandas\util\_decorators.py:311, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
    305 if len(args) > num_allow_args:
    306     warnings.warn(
    307         msg.format(arguments=arguments),
    308         FutureWarning,
    309         stacklevel=stacklevel,
    310     )
--> 311 return func(*args, **kwargs)

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\site-packages\pandas\io\parsers\readers.py:680, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
    665 kwds_defaults = _refine_defaults_read(
    666     dialect,
    667     delimiter,
   (...)
    676     defaults={"delimiter": ","},
    677 )
    678 kwds.update(kwds_defaults)
--> 680 return _read(filepath_or_buffer, kwds)

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\site-packages\pandas\io\parsers\readers.py:581, in _read(filepath_or_buffer, kwds)
    578     return parser
    580 with parser:
--> 581     return parser.read(nrows)

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\site-packages\pandas\io\parsers\readers.py:1254, in TextFileReader.read(self, nrows)
   1252 nrows = validate_integer("nrows", nrows)
   1253 try:
-> 1254     index, columns, col_dict = self._engine.read(nrows)
   1255 except Exception:
   1256     self.close()

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\site-packages\pandas\io\parsers\c_parser_wrapper.py:225, in CParserWrapper.read(self, nrows)
    223 try:
    224     if self.low_memory:
--> 225         chunks = self._reader.read_low_memory(nrows)
    226         # destructive to chunks
    227         data = _concatenate_chunks(chunks)

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\site-packages\pandas\_libs\parsers.pyx:805, in pandas._libs.parsers.TextReader.read_low_memory()

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\site-packages\pandas\_libs\parsers.pyx:861, in pandas._libs.parsers.TextReader._read_rows()

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\site-packages\pandas\_libs\parsers.pyx:847, in pandas._libs.parsers.TextReader._tokenize_rows()

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\site-packages\pandas\_libs\parsers.pyx:1960, in pandas._libs.parsers.raise_parser_error()

ParserError: Error tokenizing data. C error: Expected 2 fields in line 60, saw 3