class_docstr: The DementiaBank dataset for voice classification of Dementia.
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "audio": tfds.features.Audio(
                      file_format="mp3", sample_rate=44100
                  ),
                  "label": tfds.features.ClassLabel(
                      names=["dementia", "control"]
                  ),
                  "speaker_id": np.str_,
              }
          ),
          supervised_keys=("audio", "label"),
          homepage="https://dementia.talkbank.org/",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/audio/dementiabank.py
imports: from __future__ import annotations
  import collections
  import os
  import textwrap
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Dementiabank obj's underlying member method code with example usage: obj._info() and returns: tfds