class_docstr: TED-LIUM speech recognition dataset.
class_docstr_tok: ["TED-LIUM","speech","recognition","dataset","."]
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "speech": tfds.features.Audio(sample_rate=16000),
                  "text": tfds.features.Text(),
                  "speaker_id": np.str_,
                  "gender": tfds.features.ClassLabel(
                      names=["unknown", "female", "male"]
                  ),
                  "id": np.str_,
              }
          ),
          supervised_keys=("speech", "text"),
          homepage=self.builder_config.url,
          citation=self.builder_config.citation,
          metadata=tfds.core.MetadataDict(
              sample_rate=16000,
          ),
      )
  
file_path: datasets/tensorflow_datasets/datasets/tedlium/tedlium_dataset_builder.py
imports: import os
  import re
  from etils import epath
  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 Builder obj's underlying member method code with example usage: obj._info() and returns: self