Upload Spatial457.py with huggingface_hub

Spatial457.py

@@ -40,32 +40,39 @@ class Spatial457(datasets.GeneratorBasedBuilder):
         base_url = "https://huggingface.co/datasets/RyanWW/Spatial457/resolve/main"
     
         json_url = f"{base_url}/questions/{self.config.name}.json"
-        image_url_template = f"{base_url}/images"
         # 下载 json 文件
         task_json = dl_manager.download(json_url)
-        # 下载整个 images 目录（如果太大，也可以改成逐张下载或改为 tar 包）
-        image_dir = dl_manager.download_and_extract(image_url_template)
-
-        # data_dir = dl_manager.manual_dir  # expects local `images/` and `questions/`
-        # task_json = os.path.join(data_dir, "questions", f"{self.config.name}.json")
-        # image_dir = os.path.join(data_dir, "images")
+        
+        # 读取 JSON 获取所有图片文件名
+        with open(task_json, "r", encoding="utf-8") as f:
+            all_data = json.load(f)["questions"]
+        
+        # 构建所有图片的 URL
+        image_urls = {
+            q["image_filename"]: f"{base_url}/images/{q['image_filename']}"
+            for q in all_data
+        }
+        
+        # 批量下载所有图片
+        downloaded_images = dl_manager.download(image_urls)
 
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                gen_kwargs={"json_file": task_json, "image_dir": image_dir}
+                gen_kwargs={"json_file": task_json, "downloaded_images": downloaded_images}
             )
         ]
 
-    def _generate_examples(self, json_file, image_dir):
+    def _generate_examples(self, json_file, downloaded_images):
         with open(json_file, "r", encoding="utf-8") as f:
             all_data = json.load(f)["questions"]
 
         for idx, q in enumerate(all_data):
-            img_path = os.path.join(image_dir, q["image_filename"])
+            img_filename = q["image_filename"]
+            img_path = downloaded_images[img_filename]
             yield idx, {
                 "image": img_path,
-                "image_filename": q["image_filename"],
+                "image_filename": img_filename,
                 "question": q["question"],
                 "answer": str(q["answer"]),
                 "question_index": q["question_index"],