updated loading script

EMT.py

@@ -29,6 +29,20 @@ _IMAGE_ARCHIVE_URL = "https://huggingface.co/datasets/KuAvLab/EMT/blob/main/emt_
 # Annotations URL (organized in train/test subfolders)
 _ANNOTATION_REPO = "https://huggingface.co/datasets/Murdism/EMT/resolve/main/annotations"
 
+_GT_OBJECT_CLASSES = {
+    0: "Pedestrian",
+    1: "Cyclist",
+    2: "Motorbike",
+    3: "Small_motorised_vehicle",
+    4: "Car",
+    5: "Medium_vehicle",
+    6: "Large_vehicle",
+    7: "Bus",
+    8: "Emergency_vehicle",
+}
+
+# Update: Consider using a predefined set of object classes for easier filtering
+OBJECT_CLASSES = {v: k for k, v in _GT_OBJECT_CLASSES.items()}
 
 class EMT(datasets.GeneratorBasedBuilder):
     """EMT dataset."""
@@ -91,7 +105,7 @@ class EMT(datasets.GeneratorBasedBuilder):
                         parts = line.strip().split()
                         frame_id, track_id, class_name = parts[:3]
                         bbox = list(map(float, parts[4:8]))  # Extract bounding box
-                        class_id = hash(class_name) % 1000  # Convert class_name to numeric ID
+                        class_id = _GT_OBJECT_CLASSES.get(class_name, -1)  # Convert class_name to numeric ID, default to -1 if not found
 
                         img_path = f"{frame_id}.jpg"
                         if img_path not in annotations: