class_docstr: So2SAT remote sensing dataset.
class_docstr_tok: ["So2SAT","remote","sensing","dataset","."]
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      paths = dl_manager.download(
          {
              "train": "ftp://m1454690:m1454690@dataserv.ub.tum.de/training.h5",
              "val": "ftp://m1454690:m1454690@dataserv.ub.tum.de/validation.h5",
          }
      )
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "path": paths["train"],
                  "selection": self.builder_config.selection,
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "path": paths["val"],
                  "selection": self.builder_config.selection,
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/so2sat/so2sat_dataset_builder.py
imports: import numpy
  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