class_docstr: Input data structure of BERT/ERNIE, can satisfy single sequence task like
  text classification, sequence lableing; Sequence pair task like dialog
  task.
class_docstr_tok: ["Input","data","structure","of","BERT\/ERNIE",",","can","satisfy","single","sequence","task","like","text","classification",",","sequence","lableing",";","Sequence","pair","task","like","dialog","task","."]
code: def __str__(self):
      if self.text_b is None:
          return "text={}\tlabel={}".format(self.text_a, self.label)
      else:
          return "text_a={}\ttext_b={},label={}".format(
              self.text_a, self.text_b, self.label
          )
  
imports: from collections import namedtuple
  from typing import Callable, Generator, Generic, List
  import numpy
  from paddlehub.utils.log import logger
  from paddlehub.compat.task import tokenization
  from paddlehub.compat.task.batch import pad_batch_data
label_desc: Use image node_id 2 for calling the InputExample obj's underlying member method code with example usage: obj.__str__() and returns: str, str