class_docstr: Eurosat remote sensing benchmarking dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      path = dl_manager.download_and_extract(
          self.builder_config.download_url
      )
      path = os.path.join(path, self.builder_config.subdir)
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "path": path,
                  "selection": self.builder_config.selection,
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/image_classification/eurosat.py
imports: import io
  import os
  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 Eurosat obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list