tensorflow_datasets/image_classification/plant_leaves.py [101:132]:
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        citation=_CITATION,
    )

  def _split_generators(self, dl_manager):
    """Returns SplitGenerators."""
    # Batch download for this dataset is broken, therefore images have to be
    # downloaded independently from a list of urls.
    with tf.io.gfile.GFile(os.fspath(tfds.core.tfds_path(_URLS_FNAME))) as f:
      name_to_url_map = {
          os.path.basename(l.strip()): l.strip() for l in f.readlines()
      }
      retry_count = 0
      image_files = {}
      # We have to retry due to rare 504 HTTP errors. Downloads are cached,
      # therefore this shouldn't cause successful downloads to be retried.
      while True:
        try:
          image_files = dl_manager.download(name_to_url_map)
          break
        except tfds.download.DownloadError:
          retry_count += 1
          if retry_count == _MAX_DOWNLOAD_RETRY:
            raise DownloadRetryLimitReachedError(
                "Retry limit reached. Try downloading the dataset again.")
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN, gen_kwargs={"image_files": image_files})
      ]

  def _generate_examples(self, image_files):
    """Yields examples."""
    label_map = {pattern: label for pattern, label in _LABEL_MAPPING}
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tensorflow_datasets/image_classification/plantae_k.py [92:123]:
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        citation=_CITATION,
    )

  def _split_generators(self, dl_manager):
    """Returns SplitGenerators."""
    # Batch download for this dataset is broken, therefore images have to be
    # downloaded independently from a list of urls.
    with tf.io.gfile.GFile(os.fspath(tfds.core.tfds_path(_URLS_FNAME))) as f:
      name_to_url_map = {
          os.path.basename(l.strip()): l.strip() for l in f.readlines()
      }
      retry_count = 0
      image_files = {}
      # We have to retry due to rare 504 HTTP errors. Downloads are cached,
      # therefore this shouldn't cause successful downloads to be retried.
      while True:
        try:
          image_files = dl_manager.download(name_to_url_map)
          break
        except tfds.download.DownloadError:
          retry_count += 1
          if retry_count == _MAX_DOWNLOAD_RETRY:
            raise DownloadRetryLimitReachedError(
                "Retry limit reached. Try downloading the dataset again.")
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN, gen_kwargs={"image_files": image_files})
      ]

  def _generate_examples(self, image_files):
    """Yields examples."""
    label_map = {pattern: label for pattern, label in _LABEL_MAPPING}
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