class_docstr: Stanford Sentiment Treebank binary classification problems.
code: def example_generator(self, filename):
      for idx, line in enumerate(tf.gfile.Open(filename, "rb")):
          if idx == 0:
              continue  # skip header
          line = text_encoder.to_unicode_utf8(line.strip())
          sent, label = line.split("\t")
          yield {"inputs": sent, "label": int(label)}
  
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 SentimentSSTBinary obj's underlying member method code with example usage: obj.example_generator(filename) without return types