class_docstr: Corrupted ImageNet2012 dataset.
class_docstr_tok: ["Corrupted","ImageNet2012","dataset","."]
docstr: Filter out training split as ImageNet-C is a testing benchmark.
docstr_tok: ["Filter","out","training","split","as","ImageNet-C","is","a","testing","benchmark","."]
code: def _split_generators(self, dl_manager):
      """Filter out training split as ImageNet-C is a testing benchmark."""
      splits = super(Builder, self)._split_generators(dl_manager)
  
      corruptions.FROST_FILENAMES = dl_manager.download(
          _FROST_FILENAMES
      )
      return [s for s in splits if s.name != tfds.Split.TRAIN]
  
file_path: datasets/tensorflow_datasets/datasets/imagenet2012_corrupted/imagenet2012_corrupted_dataset_builder.py
imports: from absl import logging
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.datasets.imagenet2012 import imagenet2012_dataset_builder
  from tensorflow_datasets.datasets.imagenet2012 import imagenet_common
  from tensorflow_datasets.image_classification import corruptions
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: unknown