chunk_content: _features[0]
      batch["labels"] = tokenizer(batch["sentence"]).input_ids
      return batch
  Apply the prepare_dataset function to the dataset with the map function, and set the num_proc argument to 2 to enable multiprocessing (if map hangs, then set num_proc=1):
  
  
  	Copied
  common_voice = common_voice.map(prepare_dataset, remove_columns=common_voice.column_names["train"], num_proc=2)
  Finally, create a DataCollator class to pad the labels in each b