class_docstr: The AI2 ARC dataset with Information Retrieval.
  
  Compared to the normal AI2 corpus, this adds a paragraph containing retrieved
  facts similar to the question + answers.
  
  Retrieved sentences are obtained following the UnifiedQA paper:
  https://arxiv.org/abs/2005.00700
class_docstr_tok: ["The","AI2","ARC","dataset","with","Information","Retrieval",".","Compared","to","the","normal","AI2","corpus",",","this","adds","a","paragraph","containing","retrieved","facts","similar","to","the","question","+","answers",".","Retrieved","sentences","are","obtained","following","the","UnifiedQA","paper",":","https",":","\/\/arxiv.org\/abs\/2005.00700"]
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      dl_dir = dl_manager.download_and_extract(_URL)
      base_path = os.path.join(dl_dir, "ARC-IR10V8")
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "filepath": os.path.join(base_path, "train.jsonl"),
                  "split": self.builder_config.name,
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "filepath": os.path.join(base_path, "dev.jsonl"),
                  "split": self.builder_config.name,
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "filepath": os.path.join(base_path, "test.jsonl"),
                  "split": self.builder_config.name,
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/ai2_arc_with_ir/ai2_arc_with_ir_dataset_builder.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  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