class_docstr: MuTual: A Dataset for Multi-Turn Dialogue Reasoning
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,
                      "MuTual-master",
                      "data",
                      self.config.name,
                      "train",
                  ),
                  "split": "train",
              },
          ),
          datasets.SplitGenerator(
              name=datasets.Split.TEST,
              # These kwargs will be passed to _generate_examples
              gen_kwargs={
                  "basepath": os.path.join(
                      data_dir,
                      "MuTual-master",
                      "data",
                      self.config.name,
                      "test",
                  ),
                  "split": "test",
              },
          ),
          datasets.SplitGenerator(
              name=datasets.Split.VALIDATION,
              # These kwargs will be passed to _generate_examples
              gen_kwargs={
                  "basepath": os.path.join(
                      data_dir,
                      "MuTual-master",
                      "data",
                      self.config.name,
                      "dev",
                  ),
                  "split": "dev",
              },
          ),
      ]
  
file_path: lm-evaluation-harness/lm_eval/datasets/mutual/mutual.py
imports: import json
  import os
  from pathlib import Path
  import datasets
label_desc: Use image node_id 2 for calling the Mutual obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list