class_docstr: Processor for the dataset.
class_docstr_tok: ["Processor","for","the","dataset","."]
code: def _create_examples(self, lines, set_type):
      examples = []
      for i, (sentence, label) in enumerate(lines):
          guid = "%s-%s" % (set_type, i)
          text_a = " ".join(sentence)
          text_b = None
          label = label
          examples.append(
              InputExample(
                  guid=guid, text_a=text_a, text_b=text_b, label=label
              )
          )
      return examples
  
file_path: DeepKE/src/deepke/name_entity_re/standard/tools/preprocess.py
imports: from .dataset import *
  import argparse
  import csv
  import json
  import logging
  import os
  import random
  import sys
  import numpy
  from hydra import utils
  import pickle
label_desc: Use image node_id 5 for calling the NerProcessor obj's underlying member method code with example usage: obj._create_examples(lines, set_type) and returns: examples