code: def _conll_template(info: cli_utils.DatasetInfo) -> str:
      """A template for ConllDatasetBuilder."""
  
      content = textwrap.dedent(
          f'''\
        """{info.name} dataset."""
  
        from tensorflow_datasets.core.dataset_builders.conll import conll_dataset_builder_utils as conll_lib
        import {info.tfds_api} as tfds
  
  
        class {info.cls_name}(tfds.dataset_builders.ConllDatasetBuilder):
          """DatasetBuilder for {info.name} dataset."""
  
          VERSION = tfds.core.Version('1.0.0')
          RELEASE_NOTES = {{
              '1.0.0': 'Initial release.',
          }}
          # {info.todo}: Add details about the dataset's features.
          # conll_lib contains a set of ready-to-use features.
          BUILDER_CONFIGS = [conll_lib.CONLL_2003_CONFIG]
  
          def _info(self) -> tfds.core.DatasetInfo:
            """Returns the dataset metadata."""
            # {info.todo}: Specifies the dataset infos.
            return self.create_dataset_info(
              homepage="",
            )
  
          def _split_generators(self, dl_manager: tfds.download.DownloadManager):
            """Returns SplitGenerators."""
            # {info.todo}: Downloads the data and defines the splits
            path = dl_manager.download_and_extract('https://todo-data-url')
  
            return {{
              'train': self._generate_examples(path / 'train.txt',)
            }}
  
          # {info.todo}: If you need a customized _generate_examples function,
          # comment out the following.
          # def _generate_examples(
          #     self,
          #     path: Union[epath.PathLike, List[epath.PathLike]],
          #   ):
          #   """Yields (key, example) examples."""
          #   pass
        '''
      )
      return content
  
imports: import textwrap
  from tensorflow_datasets.scripts.cli import cli_utils
label_desc: Use image node_id 3 for calling a global function with example usage: _conll_template(info) and returns: content