code: def load_properties() -> t.Tuple[pd.DataFrame, pd.DataFrame]:
      """Load and return the properties of the SCIERC dataset.
  
      Returns
      -------
      properties : Tuple[pd.DataFrame, pd.DataFrame]
          Properties for the SCIERC dataset.
      """
      train_properties = read_and_save_data(
          ASSETS_DIR,
          "train_properties.csv",
          _TRAIN_PROP,
          to_numpy=False,
          include_index=False,
      )
      test_properties = read_and_save_data(
          ASSETS_DIR,
          "test_properties.csv",
          _TEST_PROP,
          to_numpy=False,
          include_index=False,
      )
      return train_properties, test_properties
  
file_path: deepchecks/deepchecks/nlp/datasets/token_classification/scierc_ner.py
imports: import pathlib
  import typing
  import warnings
  import numpy
  import pandas
  from deepchecks.nlp import TextData
  from deepchecks.utils.builtin_datasets_utils import read_and_save_data
label_desc: Use image node_id 4 for calling a global function with example usage: load_properties() and returns: train_properties,  test_properties