class_docstr: DatasetBuilder for web_graph dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager, pipeline
  ):
      """Returns SplitGenerators."""
      del dl_manager
  
      subfolder = os.path.join(
          self.WEB_GRAPH_HOMEPAGE, self.builder_config.subfolder
      )
      shards = self.SHARDS or self.builder_config.num_shards
  
      train_files = [
          filename(subfolder, f"train.tfr-{i:05}-of-{int(shards):05}")
          for i in range(shards)
      ]
      train_t_files = [
          filename(
              subfolder,
              f"train.transpose.tfr-{i:05}-of-{int(shards):05}",
          )
          for i in range(shards)
      ]
      test_files = [
          filename(subfolder, f"test.tfr-{i:05}-of-{int(shards):05}")
          for i in range(shards)
      ]
      return {
          "train": self._generate_examples(
              pipeline, train_files, split="train"
          ),
          "train_t": self._generate_examples(
              pipeline, train_t_files, split="train_t"
          ),
          "test": self._generate_examples(
              pipeline, test_files, split="test"
          ),
      }
  
file_path: datasets/tensorflow_datasets/structured/web_graph/web_graph.py
imports: from __future__ import annotations
  import dataclasses
  import os
  import textwrap
  from typing import List
  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 WebGraph obj's underlying member method code with example usage: obj._split_generators(dl_manager, pipeline) and returns: dict