code: def __iter__(self):
      for sample in iter(self.base_dataset):
          actual = sample[2].replace("\n", "")
          if actual == "ignore_time_segment_in_scoring":
              continue
          yield sample
  
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 2 for calling the EvalDataset obj's underlying member method code with example usage: obj.__iter__() without return types