class_docstr: CoQA is a large-scale dataset for building Conversational Question Answering systems.
class_docstr_tok: ["CoQA","is","a","large-scale","dataset","for","building","Conversational","Question","Answering","systems","."]
code: def _split_generators(self, dl_manager):
      urls = {
          "train": _URLS["train"],
          "validation": _URLS["validation"],
      }
      data_dirs = dl_manager.download_and_extract(urls)
      return [
          datasets.SplitGenerator(
              name=datasets.Split.TRAIN,
              # These kwargs will be passed to _generate_examples
              gen_kwargs={
                  "filepath": data_dirs["train"],
                  "split": datasets.Split.TRAIN,
              },
          ),
          datasets.SplitGenerator(
              name=datasets.Split.VALIDATION,
              # These kwargs will be passed to _generate_examples
              gen_kwargs={
                  "filepath": data_dirs["validation"],
                  "split": datasets.Split.VALIDATION,
              },
          ),
      ]
  
imports: import json
  import datasets
label_desc: Use image node_id 2 for calling the Coqa obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list