docstr: Gets a collection of `InputExample`s for the test set.
docstr_tok: ["Gets","a","collection","of","`","InputExample","`","s","for","the","test","set","."]
code: def get_test_examples(self, filename="test.txt", size=-1):
      """Gets a collection of `InputExample`s for the test set."""
      return self._create_examples(
          self.read_col_file(os.path.join(self.data_dir, filename)),
          "test",
      )
  
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 4 for calling the NERTextProcessor obj's underlying member method code with example usage: obj.get_test_examples(filename, size) and returns: self