class_docstr: DatasetBuilder for conll2002 dataset.
class_docstr_tok: ["DatasetBuilder","for","conll2002","dataset","."]
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      """Returns SplitGenerators."""
      file_name = (
          "esp" if self.builder_config.name == ES_CONFIG.name else "ned"
      )
      urls_to_download = {
          "train": f"{_URL}{file_name}.train",
          "dev": f"{_URL}{file_name}.testa",
          "test": f"{_URL}{file_name}.testb",
      }
  
      dl_paths = dl_manager.download(urls_to_download)
  
      return {
          "train": self._generate_examples(dl_paths["train"]),
          "dev": self._generate_examples(dl_paths["dev"]),
          "test": self._generate_examples(dl_paths["test"]),
      }
  
file_path: datasets/tensorflow_datasets/text/conll2002/conll2002.py
imports: import collections
  from tensorflow_datasets.core.dataset_builders.conll import conll_dataset_builder
  from tensorflow_datasets.core.dataset_builders.conll import conll_dataset_builder_utils
  from tensorflow_datasets.core.features.class_label_feature import ClassLabel
  from tensorflow_datasets.core.features.sequence_feature import Sequence
  from tensorflow_datasets.core.features.text_feature import Text
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Conll2002 obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: dict