def METHOD_NAME():
  # First four batches of labels, predictions: {TP, FP, TN, FN}
  # with a threshold of 0.5:
  #   T, T -> TP;  F, T -> FP;   T, F -> FN
  #   F, F -> TN;  T, T -> TP;   F, T -> FP
  #   T, F -> FN;  F, F -> TN;   T, T -> TP
  #   F, T -> FP;  T, F -> FN;   F, F -> TN
  return dataset_ops.Dataset.from_tensor_slices({
      "labels": [True, False, True, False],
      "predictions": [True, True, False, False]}).repeat().batch(
          3, drop_remainder=True)