class_docstr: DatasetBuilder for diamonds dataset.
class_docstr_tok: ["DatasetBuilder","for","diamonds","dataset","."]
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      """Returns SplitGenerators."""
      data = dl_manager.download({"data": _URL})
      # There is no predefined train/val/test split for this dataset.
      return {
          tfds.Split.TRAIN: self._generate_examples(
              file_path=data["data"]
          )
      }
  
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 2 for calling the Diamonds obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: dict