class_docstr: TriviaQA is a reading comprehension dataset containing over 650K question-answer-evidence triples
code: def _split_generators(self, dl_manager):
      urls = _URLS
      data_dir = dl_manager.download_and_extract(urls)
      return [
          datasets.SplitGenerator(
              name=datasets.Split.TRAIN,
              # These kwargs will be passed to _generate_examples
              gen_kwargs={
                  "filepath": os.path.join(
                      data_dir,
                      "triviaqa-unfiltered",
                      "unfiltered-web-train.json",
                  ),
              },
          ),
          datasets.SplitGenerator(
              name=datasets.Split.VALIDATION,
              # These kwargs will be passed to _generate_examples
              gen_kwargs={
                  "filepath": os.path.join(
                      data_dir,
                      "triviaqa-unfiltered",
                      "unfiltered-web-dev.json",
                  ),
              },
          ),
      ]
  
file_path: lm-evaluation-harness/lm_eval/datasets/triviaqa/triviaqa.py
imports: import json
  import os
  import datasets
label_desc: Use image node_id 2 for calling the Triviaqa obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list