import os
import pickle
import logging
from vision_unlearning.datasets.base import UnlearnDataset, UnlearnDatasetSplit
[docs]
class UnlearnDatasetLocal(UnlearnDataset):
path: str
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def _load(self) -> None:
try:
files = [f for f in os.listdir(self.path) if f.endswith('.pkl')]
for file in files:
with open(os.path.join(self.path, file), 'rb') as f:
self._dataset_splits[UnlearnDatasetSplit(file[:-4])] = pickle.load(f)
except Exception as e:
logging.error(f"Error while loading the dataset: {e}")
raise e