class_docstr: DatasetBuilder for pass dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      """Returns SplitGenerators."""
      pd = tfds.core.lazy_imports.pandas
      paths = dl_manager.download(_URLS)
      with tf.io.gfile.GFile(paths["meta_data"]) as f:
          meta = pd.read_csv(f)
      meta = meta.set_index("hash")
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs=dict(
                  parts=paths["train_images"],
                  meta=meta,
                  dl_manager=dl_manager,
              ),
          )
      ]
  
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