class_docstr: GTZANMusicSpeech Dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      dl_paths = dl_manager.download_and_extract(
          {"music_speech": _DOWNLOAD_URL}
      )
      path = os.path.join(dl_paths["music_speech"], "music_speech")
      # There is no predefined train/val/test split for this dataset.
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN, gen_kwargs={"path": path}
          ),
      ]
  
file_path: datasets/tensorflow_datasets/audio/gtzan_music_speech/gtzan_music_speech.py
imports: import os
  import re
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the GTZANMusicSpeech obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list