def METHOD_NAME(
    cls,
    predict_files: Optional[List[str]] = None,
    scans_folder_name: Optional[str] = "scans",
    labels_folder_name: Optional[str] = "labels",
    calibrations_folder_name: Optional[str] = "calibs",
    data_format: Optional[BaseDataFormat] = PointCloudObjectDetectionDataFormat.KITTI,
    input_cls: Type[Input] = PointCloudObjectDetectorFoldersInput,
    transform: INPUT_TRANSFORM_TYPE = InputTransform,
    transform_kwargs: Optional[Dict] = None,
    **data_module_kwargs: Any,
) -> "PointCloudObjectDetectorData":
    ds_kw = {
        "scans_folder_name": scans_folder_name,
        "labels_folder_name": labels_folder_name,
        "calibrations_folder_name": calibrations_folder_name,
        "data_format": data_format,
    }
    return cls(
        predict_input=input_cls(RunningStage.PREDICTING, predict_files, **ds_kw),
        transform=transform,
        transform_kwargs=transform_kwargs,
        **data_module_kwargs,
    )