class_docstr: The AI2 ARC dataset.
docstr: Returns SplitGenerators.
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      dl_dir = dl_manager.download_and_extract(_URL)
      data_dir = os.path.join(dl_dir, "ARC-V1-Feb2018-2")
      base_path = os.path.join(data_dir, self.builder_config.name)
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "filepath": os.path.join(
                      base_path,
                      self.builder_config.name + "-Train.jsonl",
                  )
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "filepath": os.path.join(
                      base_path, self.builder_config.name + "-Dev.jsonl"
                  )
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "filepath": os.path.join(
                      base_path,
                      self.builder_config.name + "-Test.jsonl",
                  )
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/ai2_arc/ai2_arc_dataset_builder.py
imports: import json
  import os
  from etils import epath
  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