class_docstr: A single training/test example for simple sequence classification.
class_docstr_tok: ["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.
      labels: (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.
          labels: (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
      if isinstance(label, list):
          self.label = label
      elif label:
          self.label = str(label)
      else:
          self.label = None
  
imports: import pandas
  import os
  import torch
  from pathlib import Path
  import pickle
  from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler
  from torch.utils.data.distributed import DistributedSampler
  from transformers import WEIGHTS_NAME, BertConfig, BertForSequenceClassification, BertTokenizer, XLMConfig, XLMForSequenceClassification, XLMTokenizer, XLNetConfig, XLNetForSequenceClassification, XLNetTokenizer
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)