Update EMT.py

EMT.py

@@ -21,8 +21,8 @@ A multi-task dataset for detection, tracking, prediction, and intention predicti
 This dataset includes 34,386 annotated frames collected over 57 minutes of driving, with annotations for detection and tracking.
 """
 
-# Annotation repository
-_ANNOTATION_REPO = "https://huggingface.co/datasets/KuAvLab/EMT/resolve/main/annotations"
+# # Annotation repository
+# _ANNOTATION_REPO = "https://huggingface.co/datasets/KuAvLab/EMT/resolve/main/annotations"
 
 # Tar file URLs for images
 _TRAIN_IMAGE_ARCHIVE_URL = "https://huggingface.co/datasets/KuAvLab/EMT/resolve/main/train_images.tar.gz"
@@ -74,11 +74,14 @@ class EMT(datasets.GeneratorBasedBuilder):
         }
     
         # Download the tar file for annotations
+        # annotation_urls = {
+        #     "train": _TRAIN_ANNOTATION_ARCHIVE_URL,
+        #     "test": _TEST_ANNOTATION_ARCHIVE_URL,
+        # }
         annotation_urls = {
-            "train": _TRAIN_ANNOTATION_ARCHIVE_URL,
-            "test": _TEST_ANNOTATION_ARCHIVE_URL,
+        "train": "https://huggingface.co/datasets/KuAvLab/EMT/resolve/main/train_annotation.tar.gz",
+        "test": "https://huggingface.co/datasets/KuAvLab/EMT/resolve/main/test_annotation.tar.gz",
         }
-    
         # Download image files
         images = {
             "train": dl_manager.iter_archive(image_urls["train"]),