class_docstr: Processor for the CoLA data set (GLUE version).
class_docstr_tok: ["Processor","for","the","CoLA","data","set","(","GLUE","version",")","."]
docstr: See base class.
docstr_tok: ["See","base","class","."]
code: def get_train_examples(self, data_dir):
      """See base class."""
      return self._create_examples(
          self._read_tsv(os.path.join(data_dir, "train.tsv")), "train"
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import csv
  import os
  import mesh_tensorflow
  import mesh_tensorflow.bert.bert
  import mesh_tensorflow.bert.optimization
  import mesh_tensorflow.bert.tokenization
  from six.moves import range
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 1 for calling the ColaProcessor obj's underlying member method code with example usage: obj.get_train_examples(data_dir) and returns: self