code: def force_two_dimensions(X) -> DatasetLike:
      """
      Enforce the dimensionality of a dataset to two dimensions for the use of CleanLearning default classifier,
      which is `sklearn.linear_model.LogisticRegression
        <https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html>`_.
  
      Parameters
      ----------
      X : np.ndarray or DatasetLike
  
      Returns
      -------
      X : np.ndarray or DatasetLike
          The original dataset reduced to two dimensions, so that the dataset will have the shape ``(N, sum(...))``,
          where N is still the number of examples.
      """
      if X is not None and len(X.shape) > 2:
          X = X.reshape((len(X), -1))
      return X
  
imports: import warnings
  import numpy
  import pandas
  from typing import Union, Tuple
  from cleanlab.typing import DatasetLike, LabelLike
  from cleanlab.internal.validation import labels_to_array
  from cleanlab.internal.constants import FLOATING_POINT_COMPARISON, TINY_VALUE
label_desc: Use image node_id 31 for calling a global function with example usage: force_two_dimensions(X) and returns: X