class_docstr: BuilderConfig for LibriSpeechASR.
class_docstr_tok: ["BuilderConfig","for","LibriSpeechASR","."]
docstr: Args:
    data_dir: `string`, the path to the folder containing the files in the
      downloaded .tar
    citation: `string`, citation for the data set
    url: `string`, url for information about the data set
    **kwargs: keyword arguments forwarded to super.
docstr_tok: ["Args",":","data_dir",":","`","string","`",",","the","path","to","the","folder","containing","the","files","in","the","downloaded",".tar","citation",":","`","string","`",",","citation","for","the","data","set","url",":","`","string","`",",","url","for","information","about","the","data","set","*","*","kwargs",":","keyword","arguments","forwarded","to","super","."]
code: def __init__(self, **kwargs):
      """
      Args:
        data_dir: `string`, the path to the folder containing the files in the
          downloaded .tar
        citation: `string`, citation for the data set
        url: `string`, url for information about the data set
        **kwargs: keyword arguments forwarded to super.
      """
      super(LibrispeechASRConfig, self).__init__(
          version=datasets.Version("2.1.0", ""), **kwargs
      )
  
file_path: BigDL/python/llm/test/benchmark/whisper/librispeech_asr.py
imports: import os
  import datasets
  from datasets.tasks import AutomaticSpeechRecognition
label_desc: Use image node_id 1 to create a new LibrispeechASRConfig object from inherited base classes: datasets with example: obj = LibrispeechASRConfig()