code: def __init__(self, base_dataset):
      super().__init__()
      self.base_dataset = base_dataset
  
imports: import os
  from functools import partial
  from typing import List
  import sentencepiece
  import torch
  import torchaudio
  from common import Batch, batch_by_token_count, FunctionalModule, GlobalStatsNormalization, piecewise_linear_log, post_process_hypos, spectrogram_transform, WarmupLR
  from pytorch_lightning import LightningModule
  from torchaudio.models import emformer_rnnt_base, RNNTBeamSearch
label_desc: Use image node_id 1 to create a new EvalDataset object from inherited base classes: torch.utils.data with example: obj = EvalDataset(base_dataset)