chunk_content: ng the audio column.
  Compute the input features from the audio array using the feature extractor.
  Tokenize the sentence column to the input labels.
  
  
  	Copied
  def prepare_dataset(batch):
      audio = batch["audio"]
      batch["input_features"] = feature_extractor(audio["array"], sampling_rate=audio["sampling_rate"]).input_features[0]
      batch["labels"] = tokenizer(batch["sentence"]).input_ids
      return batch
  Apply the prepare_dataset function to