Update script to hub

Boat_dataset.py

@@ -23,13 +23,10 @@ _HOMEPAGE = "https://huggingface.co/datasets/zhuchi76/Boat_dataset/resolve/main"
 _LICENSE = ""
 
 _URLS = {
-    "images": f"{_HOMEPAGE}/data/images.tar.gz",
     "classes": f"{_HOMEPAGE}/data/classes.txt",
-    "anno": {
-        "train": f"{_HOMEPAGE}/data/instances_train2023.jsonl",
-        "val": f"{_HOMEPAGE}/data/instances_val2023.jsonl",
-        "test": f"{_HOMEPAGE}/data/instances_val2023r.jsonl"
-    },
+    "train": f"{_HOMEPAGE}/data/instances_train2023.jsonl",
+    "val": f"{_HOMEPAGE}/data/instances_val2023.jsonl",
+    "test": f"{_HOMEPAGE}/data/instances_val2023r.jsonl"
 }
 
 class BoatDataset(datasets.GeneratorBasedBuilder):
@@ -66,21 +63,15 @@ class BoatDataset(datasets.GeneratorBasedBuilder):
         # Download all files and extract them
         downloaded_files = dl_manager.download_and_extract(_URLS)
 
-        # Extract the image archive
-        image_dir = dl_manager.extract(downloaded_files["images"])
-        classes_file_path = downloaded_files["classes"]
-        annotations_paths = downloaded_files["anno"]
-
         # Load class labels from the classes file
-        with open(classes_file_path, 'r') as file:
+        with open(downloaded_files['classes'], 'r') as file:
             classes = [line.strip() for line in file.readlines()]
         
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "image_dir": image_dir,
-                    "annotations_file": annotations_paths["train"],
+                    "annotations_file": downloaded_files["train"],
                     "classes": classes,
                     "split": "train",
                 }
@@ -88,8 +79,7 @@ class BoatDataset(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
-                    "image_dir": image_dir,
-                    "annotations_file": annotations_paths["val"],
+                    "annotations_file": downloaded_files["val"],
                     "classes": classes,
                     "split": "val",
                 }
@@ -97,26 +87,22 @@ class BoatDataset(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "image_dir": image_dir,
-                    "annotations_file": annotations_paths["test"],
+                    "annotations_file": downloaded_files["test"],
                     "classes": classes,
                     "split": "val_real",
                 }
             ),
         ]
 
-    def _generate_examples(self, image_dir, annotations_file, classes, split):
+    def _generate_examples(self, annotations_file, classes, split):
         # Process annotations
         with open(annotations_file, encoding="utf-8") as f:
             for key, row in enumerate(f):
                 try:
                     data = json.loads(row.strip())
-                    file_path = os.path.join(image_dir, data["file_name"])
-                    if not os.path.isfile(file_path):
-                        continue  # Skip if file is not found in the directory
                     yield key, {
                         "image_id": data["image_id"],
-                        "image_path": file_path,  # Provide the full path to the image
+                        "image_path": data["image_path"],
                         "width": data["width"],
                         "height": data["height"],
                         "objects": {