class_docstr: Dataset used to parallelize the transformation of the dataset via a DataLoader
code: def __init__(self, dataset: DSprites, output_path: str):
      self.dataset = dataset
      self.output_path = output_path
      self.training_set_ids = self._get_training_set_ids(ratio=0.8)
  
imports: import argparse
  import os
  from typing import Set
  import numpy
  from PIL import Image
  from torch.utils.data import DataLoader, Dataset
  from tqdm import tqdm
  from vissl.utils.download import download_and_extract_archive
label_desc: Use image node_id 1 to create a new DSpritesMapper object from inherited base classes: Dataset with example: obj = DSpritesMapper(dataset, output_path)