class_docstr: Librispeech dataset.
class_docstr_tok: ["Librispeech","dataset","."]
code: def _info(self):
      return datasets.DatasetInfo(
          description=_DESCRIPTION,
          features=datasets.Features(
              {
                  "file": datasets.Value("string"),
                  "audio": datasets.Audio(sampling_rate=16_000),
                  "text": datasets.Value("string"),
                  "speaker_id": datasets.Value("int64"),
                  "chapter_id": datasets.Value("int64"),
                  "id": datasets.Value("string"),
              }
          ),
          supervised_keys=("file", "text"),
          homepage=_URL,
          citation=_CITATION,
          task_templates=[
              AutomaticSpeechRecognition(
                  audio_column="audio", transcription_column="text"
              )
          ],
      )
  
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 for calling the LibrispeechASR obj's underlying member method code with example usage: obj._info() and returns: datasets