class_docstr: DatasetBuilder for mslr_web dataset.
class_docstr_tok: ["DatasetBuilder","for","mslr_web","dataset","."]
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      """Returns SplitGenerators."""
      size = self.builder_config.size
      fold = self.builder_config.fold
      path = dl_manager.download_and_extract(_URLS[size])
  
      return {
          split: self._generate_examples(
              path / f"Fold{fold}/{split}.txt"
          )
          for split in ["train", "vali", "test"]
      }
  
file_path: datasets/tensorflow_datasets/ranking/mslr_web/mslr_web.py
imports: import dataclasses
  import itertools
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
  from tensorflow_datasets.ranking.libsvm_ranking_parser import LibSVMRankingParser
label_desc: Use image node_id 2 for calling the MslrWeb obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: unknown