class_docstr: DatasetBuilder for answer_equivalence dataset.
class_docstr_tok: ["DatasetBuilder","for","answer_equivalence","dataset","."]
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      """Returns SplitGenerators."""
      homepage = "https://raw.githubusercontent.com/google-research-datasets/answer-equivalence-dataset/main/v1/"
      archive = {
          "train": os.path.join(homepage, "train.jsonl"),
          "ae_dev": os.path.join(homepage, "ae_dev.jsonl"),
          "ae_test": os.path.join(homepage, "ae_test.jsonl"),
          "dev_xlnet": os.path.join(
              homepage, "dev_by_system/dev_xlnet.jsonl"
          ),
          "dev_luke": os.path.join(
              homepage, "dev_by_system/dev_luke.jsonl"
          ),
          "dev_bidaf": os.path.join(
              homepage, "dev_by_system/dev_bidaf.jsonl"
          ),
      }
  
      paths = dl_manager.download_and_extract(archive)
  
      return {
          split: self._generate_examples(path)
          for split, path in paths.items()
      }
  
file_path: datasets/tensorflow_datasets/datasets/answer_equivalence/answer_equivalence_dataset_builder.py
imports: from __future__ import annotations
  import json
  import os
  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: unknown