class_docstr: The audio part of CREMA-D dataset for emotion recognition.
class_docstr_tok: ["The","audio","part","of","CREMA-D","dataset","for","emotion","recognition","."]
docstr: Yields examples.
docstr_tok: ["Yields","examples","."]
code: def _generate_examples(self, file_paths_and_names):
      """Yields examples."""
      for file_path, file_name in file_paths_and_names:
          speaker_id = file_name.split("_")[0]
          label = file_name.split("_")[2]
          example = {
              "audio": file_path,
              "label": label,
              "speaker_id": speaker_id,
          }
          yield file_name, example
  
file_path: datasets/tensorflow_datasets/audio/crema_d.py
imports: from __future__ import annotations
  import collections
  import os
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 3 for calling the CremaD obj's underlying member method code with example usage: obj._generate_examples(file_paths_and_names) without return types