docstr: Returns a label to names dictionary object.
  
  Returns:
      A dict where keys are label numbers and
      values are the corresponding names.
docstr_tok: ["Returns","a","label","to","names","dictionary","object",".","Returns",":","A","dict","where","keys","are","label","numbers","and","values","are","the","corresponding","names","."]
code: def get_label_to_names(self):
      """Returns a label to names dictionary object.
  
      Returns:
          A dict where keys are label numbers and
          values are the corresponding names.
  
      """
      return self.meta["label_to_names"]
  
file_path: lightning-flash/src/flash/pointcloud/segmentation/open3d_ml/sequences_dataset.py
imports: import os
  from os.path import basename, dirname, exists, isdir, isfile, join, split
  import numpy
  import yaml
  from torch.utils.data import Dataset
  from flash.core.utilities.imports import _TOPIC_POINTCLOUD_AVAILABLE
label_desc: Use image node_id 7 for calling the SequencesDataset obj's underlying member method code with example usage: obj.get_label_to_names() and returns: self