code: def test_train_file(self) -> None:
      with self._create_dataset_tsv() as path:
          dataset = criteo_kaggle(path)
          for sample in dataset:
              self._validate_sample(sample)
          self.assertEqual(len(list(iter(dataset))), 10)
  
imports: import contextlib
  import math
  import os
  import random
  import tempfile
  from typing import Any, Dict, List, Optional
  import numpy
  from torch.utils.data import DataLoader
  from torchrec.datasets.criteo import BinaryCriteoUtils, CAT_FEATURE_COUNT, criteo_kaggle, criteo_terabyte, InMemoryBinaryCriteoIterDataPipe, INT_FEATURE_COUNT
  from torchrec.datasets.test_utils.criteo_test_utils import CriteoTest
  from torchrec.datasets.utils import Batch
label_desc: Use image node_id 1 for calling the CriteoKaggleTest obj's underlying member method code with example usage: obj.test_train_file() without return types