Refactor dataset loading logic to handle manual directory and remote downloads; allow loading with pickle support

test.py

@@ -50,10 +50,12 @@ class TestDataset(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        # Use the provided data_dir from load_dataset
-        data_dir = dl_manager.manual_dir if dl_manager.manual_dir else dl_manager.data_dir
-        traces_path = os.path.join(data_dir, "traces.npy")
-        labels_path = os.path.join(data_dir, "labels.npy")
+        if dl_manager.manual_dir is not None:
+            traces_path = os.path.join(dl_manager.manual_dir, "traces.npy")
+            labels_path = os.path.join(dl_manager.manual_dir, "labels.npy")
+        else:
+            traces_path = dl_manager.download("https://huggingface.co/datasets/DLSCA/test/resolve/main/data/traces.npy")
+            labels_path = dl_manager.download("https://huggingface.co/datasets/DLSCA/test/resolve/main/data/labels.npy")
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -65,8 +67,8 @@ class TestDataset(datasets.GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, traces_path, labels_path):
-        traces = np.load(traces_path)
-        labels = np.load(labels_path)
+        traces = np.load(traces_path, allow_pickle=True)
+        labels = np.load(labels_path, allow_pickle=True)
         for idx, (trace, label) in enumerate(zip(traces, labels)):
             yield idx, {
                 "trace": trace.tolist(),

test_dataset.py

@@ -1,10 +1,12 @@
 from datasets import load_dataset
 
+LOCAL = True
+
 def main():
     # Load the dataset from the local script
     ds = load_dataset(
         'test.py',
-        data_dir='data',
+        data_dir='data' if LOCAL else None,
         split='train',
         trust_remote_code=True,
     )