pymovements.datasets.HBN.__init__

HBN.__init__(name: str = 'HBN', mirrors: tuple[str, ...] = ('https://files.osf.io/v1/resources/qknuv/providers/osfstorage/',), resources: tuple[dict[str, str], ...] = ({'filename': 'data.zip', 'md5': '2c523e911022ffc0eab700e34e9f7f30', 'resource': '651190031e76a453918a9971'},), experiment: Experiment = <pymovements.gaze.experiment.Experiment object>, filename_format: str = '{subject_id:12}_{video_id}.csv', filename_format_dtypes: dict[str, type] = <factory>, custom_read_kwargs: dict[str, Any] = <factory>, column_map: dict[str, str] = <factory>, trial_columns: list[str] = <factory>, time_column: str = 'time', time_unit: str = 'step', pixel_columns: list[str] = <factory>, position_columns: list[str] | None = None, velocity_columns: list[str] | None = None, acceleration_columns: list[str] | None = None, distance_column: str | None = None) → None