class_docstr: Quora duplicate question pairs binary classification problems.
code: def example_generator(self, filename):
      skipped = 0
      for idx, line in enumerate(tf.gfile.Open(filename, "rb")):
          if idx == 0:
              continue  # skip header
          line = text_encoder.to_unicode_utf8(line.strip())
          split_line = line.split("\t")
          if len(split_line) < 6:
              skipped += 1
              tf.logging.info("Skipping %d" % skipped)
              continue
          s1, s2, l = split_line[3:]
          # A neat data augmentation trick from Radford et al. (2018)
          # https://blog.openai.com/language-unsupervised/
          inputs = [[s1, s2], [s2, s1]]
          for inp in inputs:
              yield {"inputs": inp, "label": int(l)}
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import zipfile
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 7 for calling the QuoraQuestionPairs obj's underlying member method code with example usage: obj.example_generator(filename) without return types