def METHOD_NAME():
  # First four batches of labels, predictions: {TP, FP, TN, FN}
  # with a threshold of 0.5:
  #   True, 1.0 -> TP;  False, .75 -> FP;   True, .25 -> FN
  #  False, 0.0 -> TN;   True, 1.0 -> TP;  False, .75 -> FP
  #   True, .25 -> FN;  False, 0.0 -> TN;   True, 1.0 -> TP
  #  False, .75 -> FP;   True, .25 -> FN;  False, 0.0 -> TN
  return dataset_ops.Dataset.from_tensor_slices({
      "labels": [True, False, True, False],
      "predictions": [1.0, 0.75, 0.25, 0.]}).repeat().batch(
          3, drop_remainder=True)