class_docstr: A single training/test example for simple sequence classification.
docstr: Constructs a InputExample.
  Args:
      guid: Unique id for the example.
      text_a: string. The untokenized text of the first sequence.
          For single sequence tasks, only this sequence must be specified.
      text_b: (Optional) string. The untokenized text of the second
          sequence. Only must be specified for sequence pair tasks.
      label: (Optional) string. The label of the example. This should be
          specified for train and dev examples, but not for test examples.
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code: def __init__(self, guid, text_a, text_b=None, label=None):
      """Constructs a InputExample.
      Args:
          guid: Unique id for the example.
          text_a: string. The untokenized text of the first sequence.
              For single sequence tasks, only this sequence must be specified.
          text_b: (Optional) string. The untokenized text of the second
              sequence. Only must be specified for sequence pair tasks.
          label: (Optional) string. The label of the example. This should be
              specified for train and dev examples, but not for test examples.
      """
      self.guid = guid
      self.text_a = text_a
      self.text_b = text_b
      self.label = label
  
imports: import os
  import csv
  import collections
  import tensorflow
  import texar.tf
label_desc: Use image node_id 1 to create a new InputExample object  with example: obj = InputExample(guid, text_a, text_b, label)