class_docstr: The input data structure of Transformer modules (BERT, ERNIE and so on).
class_docstr_tok: ["The","input","data","structure","of","Transformer","modules","(","BERT",",","ERNIE","and","so","on",")","."]
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: import csv
  import io
  import os
  from typing import Dict, List, Optional, Union, Tuple
  import numpy
  import paddle
  import paddlenlp
  from packaging.version import Version
  from paddlehub.env import DATA_HOME
  from paddlenlp.transformers import PretrainedTokenizer
  from paddlenlp.data import JiebaTokenizer
  from paddlehub.utils.log import logger
  from paddlehub.utils.utils import download, reseg_token_label, pad_sequence, trunc_sequence
  from paddlehub.utils.xarfile import is_xarfile, unarchive
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