class_docstr: LAMBADA is a dataset to evaluate the capabilities of computational models for text understanding by means of a word prediction task.
code: def _split_generators(self, dl_manager):
      urls = _URLS[self.config.name]
      data_dir = dl_manager.download_and_extract(urls)
      return [
          datasets.SplitGenerator(
              name=datasets.Split.TEST,
              # These kwargs will be passed to _generate_examples
              gen_kwargs={
                  "filepath": data_dir,
                  "split": "test",
              },
          ),
      ]
  
file_path: lm-evaluation-harness/lm_eval/datasets/lambada_ja/lambada_ja.py
imports: import os
  import json
  import datasets
label_desc: Use image node_id 2 for calling the LambadaOpenAI obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list