code: def _create_examples(self, set_type):
      examples = []
      df = pd.read_csv(
          self.path_dict["data"],
          sep="\t",
          names=["phase", "label", "text"],
      )
      phase_key = {"train": "tr", "val": "va", "test": "te"}[set_type]
      sub_df = df[df["phase"] == phase_key]
      for i, row in sub_df.iterrows():
          # noinspection PyArgumentList
          examples.append(
              self.Example(
                  guid="%s-%s" % (set_type, i),
                  text=row.text,
                  label=row.label
                  if set_type != "test"
                  else self.LABELS[-1],
              )
          )
      return examples
  
imports: import numpy
  import pandas
  import torch
  from dataclasses import dataclass
  from typing import List
  from jiant.tasks.core import BaseExample, BaseTokenizedExample, BaseDataRow, BatchMixin, Task, TaskTypes
  from jiant.tasks.lib.templates.shared import single_sentence_featurize
label_desc: Use image node_id 4 for calling the BaseSentEvalTask obj's underlying member method code with example usage: obj._create_examples(set_type) and returns: examples