def METHOD_NAME(self) -> keras.InputData:
    # Ignore header line and read the training CSV observations into a pandas DataFrame.
    train = pd.read_csv(self.context.get_data_config()["train_url"], names=DS_COLUMNS, header=0)
    train_features, train_labels = train, train.pop(LABEL_HEADER)
    # Since we're building a classifier, convert the labels in the raw
    # dataset (0, 1, or 2) to one-hot vector encodings that we'll to
    # construct the Sequence data loaders that Determined expects.
    train_labels_categorical = to_categorical(train_labels, num_classes=3)
    return train_features.values, train_labels_categorical