code: def data_path(
      path=None,
      force_update=False,
      update_path=True,
      download=True,
      *,
      verbose=None,
  ):
      """
      Get path to local copy of visual_92_categories dataset.
  
      .. note:: The dataset contains four fif-files, the trigger files and the T1
                mri image. This dataset is rather big in size (more than 5 GB).
  
      Parameters
      ----------
      path : None | str
          Location of where to look for the visual_92_categories data storing
          location. If None, the environment variable or config parameter
          MNE_DATASETS_VISUAL_92_CATEGORIES_PATH is used. If it doesn't exist,
          the "mne-python/examples" directory is used. If the
          visual_92_categories dataset is not found under the given path (e.g.,
          as "mne-python/examples/MNE-visual_92_categories-data"), the data
          will be automatically downloaded to the specified folder.
      force_update : bool
          Force update of the dataset even if a local copy exists.
      update_path : bool | None
          If True, set the MNE_DATASETS_VISUAL_92_CATEGORIES_PATH in mne-python
          config to the given path. If None, the user is prompted.
      %(verbose)s
  
      Returns
      -------
      path : instance of Path
          Local path to the given data file.
  
      Notes
      -----
      The visual_92_categories dataset is documented in the following publication
          Radoslaw M. Cichy, Dimitrios Pantazis, Aude Oliva (2014) Resolving
          human object recognition in space and time. doi: 10.1038/NN.3635
      """
      return _download_mne_dataset(
          name="visual_92_categories",
          processor="untar",
          path=path,
          force_update=force_update,
          update_path=update_path,
          download=download,
      )
  
imports: from ...utils import verbose
  from ..utils import _data_path_doc, _download_mne_dataset, _get_version, _version_doc
label_desc: Use image node_id 1 for calling a global function with example usage: data_path(path, force_update, update_path, download) and returns: _download_mne_dataset