class_docstr: A single training/test example for sequence classification.
class_docstr_tok: ["A","single","training\/test","example","for","sequence","classification","."]
code: def __init__(self, guid, text_a, text_b=None, label=None):
      self.guid = guid
      self.text_a = text_a
      self.text_b = text_b
      self.label = label
  
imports: from __future__ import print_function, unicode_literals
  import random
  from contextlib import closing
  from multiprocessing import Pool
  import numpy
  import pandas
  import torch
  from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset, random_split
  from torchtext.legacy import data
  from tqdm import tqdm
label_desc: Use image node_id 1 to create a new InputExample object from inherited base classes: object with example: obj = InputExample(guid, text_a, text_b, label)