class_docstr: DatasetBuilder for segment_anything dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      """Returns SplitGenerators."""
      path_to_links = dl_manager.manual_dir / _LOCAL_LINKS_FILE_NAME
      dict_of_urls = {}
      with path_to_links.open() as file:
          reader = csv.reader(file, delimiter="\t")
          for i, (name, url) in enumerate(reader):
              # Skip the headers.
              if i == 0:
                  continue
              dict_of_urls[name] = url
      paths = dl_manager.download_and_extract(dict_of_urls)
      return {
          "train": self._generate_examples(paths),
      }
  
file_path: datasets/tensorflow_datasets/datasets/segment_anything/segment_anything_dataset_builder.py
imports: import csv
  import json
  from typing import Dict, List
  from etils import epath
  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: dict