def _load_data_with_data_loader_parallelizable(
  dataLoader: CommunityNotesDataLoader, scoringArgs: ScoringArgs
) -> ScoringArgs:
  """
  Load data from the dataLoader into the scoringArgs object. This function is designed to be run
  in a multiprocessing pool,

  Deprecated: prefer _load_data_from_shared_memory_parallelizable.
  """
  _, ratings, noteStatusHistory, userEnrollment = dataLoader.get_data()

  scoringArgs.ratings = ratings.sort_values(c.highVolumeRaterKey, ascending=True)
  scoringArgs.noteStatusHistory = noteStatusHistory
  scoringArgs.userEnrollment = userEnrollment
  if type(scoringArgs) == FinalScoringArgs:
    (
      prescoringNoteModelOutput,
      prescoringRaterParams,
    ) = dataLoader.get_prescoring_model_output()
    scoringArgs.prescoringNoteModelOutput = prescoringNoteModelOutput
    scoringArgs.prescoringRaterModelOutput = prescoringRaterParams
  return scoringArgs

  Load data from the dataLoader into the scoringArgs object. This function is designed to be run
  in a multiprocessing pool,

  Deprecated: prefer _load_data_from_shared_memory_parallelizable.
  
sourcecode/scoring/run_scoring.py