def METHOD_NAME(
    dataset: str,
    app_config: AppConfig,
) -> DatasetInfoJobRunner:
    processing_step_name = DatasetInfoJobRunner.get_job_type()
    processing_graph = ProcessingGraph(
        {
            processing_step_name: {
                "input_type": "dataset",
                "job_runner_version": DatasetInfoJobRunner.get_job_runner_version(),
            }
        }
    )
    return DatasetInfoJobRunner(
        job_info={
            "type": DatasetInfoJobRunner.get_job_type(),
            "params": {
                "dataset": dataset,
                "revision": "revision",
                "config": None,
                "split": None,
            },
            "job_id": "job_id",
            "priority": Priority.NORMAL,
            "difficulty": 50,
        },
        app_config=app_config,
        processing_step=processing_graph.get_processing_step(processing_step_name),
    )