Tensorflow ошибка: tfds build not supported yet

Хочу создать датасет из своих картинок в Tensorflow. Действую по этой инструкции. Добавил свой код в основной файл датасета, запускаю tfds build и получают ошибку:

Traceback (most recent call last):
  File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.7_3.7.2544.0_x64__qbz5n2kfra8p0\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
  File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.7_3.7.2544.0_x64__qbz5n2kfra8p0\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
  File "C:\Users\User\Desktop\Projects\ml\Scripts\tfds.exe\__main__.py", line 7, in <module>
  File "c:\users\user\desktop\projects\ml\lib\site-packages\tensorflow_datasets\scripts\cli\main.py", line 61, in launch_cli
app.run(main, flags_parser=_parse_flags)
  File "c:\users\user\desktop\projects\ml\lib\site-packages\absl\app.py", line 300, in run
_run_main(main, args)
  File "c:\users\user\desktop\projects\ml\lib\site-packages\absl\app.py", line 251, in _run_main
sys.exit(main(argv))
  File "c:\users\user\desktop\projects\ml\lib\site-packages\tensorflow_datasets\scripts\cli\main.py", line 56, in main
args.subparser_fn(args)
  File "c:\users\user\desktop\projects\ml\lib\site-packages\tensorflow_datasets\scripts\cli\build.py", line 37, in _build_datasets
raise NotImplementedError('tfds build not supported yet (#2447).')
NotImplementedError: tfds build not supported yet (#2447).

Что означает эта ошибка:"tfds build not supported yet"? Мой файл в этом сообщении даже не упомянут, он не содержит ошибку? Подскажите пожалуйста, в чём может быть дело?

На всякий случай, мой файл с описанием датасета:

"""posture1 dataset."""

import tensorflow_datasets as tfds

# TODO(posture1): Markdown description  that will appear on the catalog page.
_DESCRIPTION = """
Description is **formatted** as markdown.

It should also contain any processing which has been applied (if any),
(e.g. corrupted example skipped, images cropped,...):
"""

# TODO(posture1): BibTeX citation
_CITATION = """
"""


class Posture1(tfds.core.GeneratorBasedBuilder):
  """DatasetBuilder for posture1 dataset."""

  VERSION = tfds.core.Version('1.0.0')
  RELEASE_NOTES = {
      '1.0.0': 'Initial release.',
  }

  def _info(self) -> tfds.core.DatasetInfo:
    """Returns the dataset metadata."""
    # TODO(posture1): Specifies the tfds.core.DatasetInfo object
    return tfds.core.DatasetInfo(
        builder=self,
        description=_DESCRIPTION,
        features=tfds.features.FeaturesDict({
            'image': tfds.features.Image(shape=(480, 640, 3)),
            'label': tfds.features.ClassLabel(names=['bad', 'good']),
        }),
        # If there's a common (input, target) tuple from the
        # features, specify them here. They'll be used if
        # `as_supervised=True` in `builder.as_dataset`.
        # supervised_keys=None,  # e.g. ('image', 'label')
        # homepage='https://dataset-homepage/',
        # citation=_CITATION,
    )

  def _split_generators(self, dl_manager: tfds.download.DownloadManager):
    """Returns SplitGenerators."""
    # TODO(posture1): Downloads the data and defines the splits
    #path = dl_manager.download_and_extract('https://todo-data-url')

    # TODO(posture1): Returns the Dict[split names, Iterator[Key, Example]]
    return {
        'train': self._generate_examples('train'),
        'test': self._generate_examples('test'),
        'verify': self._generate_examples('verify'),
    }

  def _generate_examples(self, subset):
    """Yields examples."""
    filepath = 'C:\\Users\\User\\PycharmProjects\\posture1\\Dataset\\data.csv'
    with open(filepath) as fp:
        line = fp.readline()
        cnt = 0
        while line:
            parts = line.split("\t")
            if len(parts) < 2 or parts[1] == "unknown" or parts[1] == "":
                continue
            r = cnt % 6
            if subset == "train" and r <= 3:
                yield parts[0], {
                    'image': "C:\\Users\\User\\PycharmProjects\\posture1\\Dataset\\" + parts[0],
                    'label': parts[1],
                }
            if subset == "test" and r == 4:
                yield parts[0], {
                    'image': "C:\\Users\\User\\PycharmProjects\\posture1\\Dataset\\" + parts[0],
                    'label': parts[1],
                }
            if subset == "verify" and r == 5:
                yield parts[0], {
                    'image': "C:\\Users\\User\\PycharmProjects\\posture1\\Dataset\\" + parts[0],
                    'label': parts[1],
                }
            print("Line {}: {}".format(cnt, line.strip()))
            line = fp.readline()
            cnt += 1