code: def _create_examples(cls, data_path, set_type):
      curr_token_list, curr_pos_list = [], []
      data_lines = read_file_lines(data_path, "r", encoding="utf-8")
      examples = []
      idx = 0
      for data_line in data_lines:
          data_line = data_line.strip()
          if data_line:
              if set_type == "test":
                  line_tokens = data_line.split("\t")
                  if len(line_tokens) == 2:
                      token, pos = line_tokens
                  else:
                      token, pos = data_line, None
              else:
                  token, pos = data_line.split("\t")
              curr_token_list.append(token)
              curr_pos_list.append(pos)
          else:
              examples.append(
                  Example(
                      guid="%s-%s" % (set_type, idx),
                      tokens=curr_token_list,
                      pos_list=curr_pos_list,
                  )
              )
              idx += 1
              curr_token_list, curr_pos_list = [], []
      if curr_token_list:
          examples.append(
              Example(
                  guid="%s-%s" % (idx, idx),
                  tokens=curr_token_list,
                  pos_list=curr_pos_list,
              )
          )
      return examples
  
imports: import numpy
  import torch
  from dataclasses import dataclass
  from typing import List, Union
  from jiant.tasks.core import BaseExample, BaseTokenizedExample, BaseDataRow, BatchMixin, Task, TaskTypes
  from jiant.tasks.lib.templates.shared import labels_to_bimap, create_input_set_from_tokens_and_segments, construct_single_input_tokens_and_segment_ids, pad_single_with_feat_spec
  from jiant.utils.python.datastructures import zip_equal
  from jiant.utils.python.io import read_file_lines
label_desc: Use image node_id 6 for calling the PanxTask obj's underlying member method code with example usage: obj._create_examples(cls, data_path, set_type) and returns: examples