class_docstr: MATH is a dataset of 12,500 challenging competition mathematics problems.
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={
                  "basepath": os.path.join(
                      data_dir, "MATH", "train", self.config.name
                  ),
                  "split": "train",
              },
          ),
          datasets.SplitGenerator(
              name=datasets.Split.TEST,
              # These kwargs will be passed to _generate_examples
              gen_kwargs={
                  "basepath": os.path.join(
                      data_dir, "MATH", "test", self.config.name
                  ),
                  "split": "test",
              },
          ),
      ]
  
file_path: lm-evaluation-harness/lm_eval/datasets/hendrycks_math/hendrycks_math.py
imports: import json
  import os
  import pathlib
  import datasets
label_desc: Use image node_id 2 for calling the HendrycksMath obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list