class_docstr: Librispeech language modeling dataset.
docstr: Returns SplitGenerators.
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      path_dic = {}
      for split_name, files in self.config.data_files.items():
          if (
              split_name == "train"
          ):  # concatination lm_copus and train transcripts
              path_dic[split_name] = dl_manager.download_and_extract(
                  [self.config.lm_corpus_path] + files
              )
          else:
              path_dic[split_name] = dl_manager.download_and_extract(
                  files
              )
  
      return [
          datasets.SplitGenerator(
              name=split_name, gen_kwargs={"archive_path": archive_path}
          )
          for split_name, archive_path in path_dic.items()
      ]
  
file_path: speechbrain/recipes/LibriSpeech/LM/dataset.py
imports: from __future__ import absolute_import, division, print_function
  import datasets
  import re
label_desc: Use image node_id 2 for calling the LibrispeechLm obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: unknown