code: def fix_dataset2(self, input_type, file_id, i, labels):
      skip = False
      label = labels[i]
      error_correction = {}
      if input_type == "hts":
          error_correction = {
              "12": [
                  lambda: self.skip_labels(i, labels, None, None)
                  if labels[i + 1].label_id == "m"
                  and labels[i + 2].label_id == "o"
                  else (labels, None, None, False),
              ],
              "31": [
                  lambda: self.skip_labels(i, labels, None, None)
                  if labels[i + 1].label_id == "s"
                  else (labels, None, None, False),
              ],
              "26": [
                  lambda: self.skip_labels(i, labels, None, None)
                  if labels[i + 1].label_id == "o"
                  else (labels, None, None, False),
              ],
              "10": [
                  lambda: self.skip_labels(i, labels, None, None)
                  if labels[i + 1].label_id == "k"
                  and labels[i + 2].label_id == "i"
                  else (labels, None, None, False),
              ],
              "24": [
                  lambda: self.skip_labels(i, labels, None, None)
                  if i == 389
                  else (labels, None, None, False),
              ],
              "07": [
                  lambda: self.skip_labels(i, labels, None, None)
                  if labels[i + 1].label_id == "m"
                  and labels[i - 1].label_id == "o"
                  else (labels, None, None, False),
              ],
          }
  
      if error_correction and i < len(labels) - 1:
          for file_id_ in error_correction:
              if file_id_ in file_id:
                  for func in error_correction[file_id_]:
                      labels, _, _, skip = func()
  
      if input_type == "xml":
          # remove rest note
          if "03" in file_id and labels[i + 1].lyric == "せ":
              labels[i + 1].st = label.st
              skip = True
  
      return label, skip
  
file_path: espnet/egs2/natsume/svs1/local/prep_segments.py
imports: import os
  from egs2.TEMPLATE.svs1.pyscripts.utils.prep_segments import DataHandler, LabelInfo, SegInfo, get_parser
  from espnet2.fileio.score_scp import MIDReader
label_desc: Use image node_id 2 for calling the NatsumeDataHandler obj's underlying member method code with example usage: obj.fix_dataset2(input_type, file_id, i, labels) and returns: label,  skip