class_docstr: Configuration Class for Mozilla CommonVoice Dataset.
class_docstr_tok: ["Configuration","Class","for","Mozilla","CommonVoice","Dataset","."]
docstr: Constructs CommonVoiceConfig.
  
  Args:
   language: language Code of the Dataset to be used.
   **kwargs: keywords arguments forwarded to super
docstr_tok: ["Constructs","CommonVoiceConfig",".","Args",":","language",":","language","Code","of","the","Dataset","to","be","used",".","*","*","kwargs",":","keywords","arguments","forwarded","to","super"]
code: def __init__(self, *, language: str, **kwargs):
      """Constructs CommonVoiceConfig.
  
      Args:
       language: language Code of the Dataset to be used.
       **kwargs: keywords arguments forwarded to super
      """
      if language not in _LANGUAGES:
          raise ValueError(
              f"language {language} must be one of {', '.join(_LANGUAGES)}"
          )
      self.language = language
  
      super().__init__(
          name=language,
          description=f"Language Code: {language}",
          version=tfds.core.Version("2.0.0"),
          release_notes={
              "1.0.0": "Initial release.",
              "2.0.0": "Updated to corpus 6.1 from 2020-12-11.",
          },
          **kwargs,
      )
  
imports: import csv
  import dataclasses
  import functools
  import io
  import re
  from typing import Any, Mapping, Sequence
  from etils import epath
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 to create a new CommonVoiceConfig object from inherited base classes: tfds.core with example: obj = CommonVoiceConfig()