code: def featurize(self, tokenizer, feat_spec):
      data_row = double_sentence_featurize(
          guid=self.guid,
          input_tokens_a=self.passage_tokens,
          input_tokens_b=self.query_tokens,
          label_id=self.label_id,
          tokenizer=tokenizer,
          feat_spec=feat_spec,
          data_row_class=DataRow,
      )
      data_row.entity_str = self.entity_str
      data_row.label_set = self.label_set
      return data_row
  
imports: import numpy
  import torch
  from dataclasses import dataclass
  from typing import List
  from jiant.tasks.core import BaseExample, BaseTokenizedExample, BaseDataRow, BatchMixin, SuperGlueMixin, Task, TaskTypes
  from jiant.tasks.lib.templates.shared import labels_to_bimap, double_sentence_featurize
  from jiant.utils.python.io import read_json_lines
label_desc: Use image node_id 1 for calling the TokenizedExample obj's underlying member method code with example usage: obj.featurize(tokenizer, feat_spec) and returns: data_row