class_docstr: Quickdraw bitmap dataset.
  
  This is the version of the QuickDraw data in which 28x28 grayscale images
  are generated from the raw vector information (i.e. the 'bitmap' dataset, not
  the 'raw' or 'simplified drawings' datasets).
code: def _split_generators(self, dl_manager):
      # The QuickDraw bitmap repository is structured as one .npy file per label.
      labels = self.info.features["label"].names
      urls = {
          label: "{}/{}.npy".format(_QUICKDRAW_BASE_URL, label)
          for label in labels
      }
  
      file_paths = dl_manager.download(urls)
  
      # There is no predefined train/test split for this dataset.
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "file_paths": file_paths,
              },
          )
      ]
  
imports: import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list