class_docstr: Minimal grammatical and ungrammatical pairs of 67 linguistic paradigms.
class_docstr_tok: ["Minimal","grammatical","and","ungrammatical","pairs","of","67","linguistic","paradigms","."]
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      cfg = self.builder_config
      download_urls = {
          cfg.name: "/".join(
              [_DOWNLOAD_URL, "data", cfg.name + ".jsonl"]
          )
      }
  
      downloaded_files = dl_manager.download_and_extract(download_urls)
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={"filepath": downloaded_files[cfg.name]},
          )
      ]
  
file_path: datasets/tensorflow_datasets/datasets/blimp/blimp_dataset_builder.py
imports: from __future__ import annotations
  import json
  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 Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list