code: def _features():
      return collections.OrderedDict(
          (
              ("carat", np.float32),
              ("cut", tfds.features.ClassLabel(names=_CUTS)),
              ("color", tfds.features.ClassLabel(names=_COLORS)),
              ("clarity", tfds.features.ClassLabel(names=_CLARITY)),
              ("x", np.float32),
              ("y", np.float32),
              ("z", np.float32),
              ("depth", np.float32),
              ("table", np.float32),
          )
      )
  
file_path: datasets/tensorflow_datasets/structured/diamonds/diamonds.py
imports: from __future__ import annotations
  import collections
  from etils import epath
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling a global function with example usage: _features() and returns: collections