diff --git a/db/__init__.py b/db/__init__.py
index ae45bae..068bf05 100644
--- a/db/__init__.py
+++ b/db/__init__.py
@@ -1,11 +1,12 @@
 from .init_db import load_sqlite_engine, initialize_sqlite_db
 from .prompt_store import get_prompt_tinydb, initialize_prompt_store
-from .dataset_store import get_all_dataset
+from .dataset_store import get_all_dataset, save_dataset
 
 __all__ = [
     "load_sqlite_engine",
     "initialize_sqlite_db",
     "get_prompt_tinydb",
     "initialize_prompt_store",
-    "get_all_dataset"
+    "get_all_dataset",
+    "save_dataset"
 ]
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diff --git a/db/dataset_store.py b/db/dataset_store.py
index e73ef33..bafce7e 100644
--- a/db/dataset_store.py
+++ b/db/dataset_store.py
@@ -39,6 +39,30 @@ def get_all_dataset(workdir: str) -> TinyDB:
     return db
 
 
+def save_dataset(db: TinyDB, workdir: str, name: str = None) -> None:
+    """
+    将TinyDB中的数据集保存为单独的json文件
+    
+    Args:
+        db (TinyDB): 包含数据集对象的TinyDB实例
+        workdir (str): 工作目录路径
+        name (str, optional): 要保存的数据集名称，None表示保存所有
+    """
+    dataset_dir = os.path.join(workdir, "dataset")
+    os.makedirs(dataset_dir, exist_ok=True)
+    
+    datasets = db.all() if name is None else db.search(Query().name == name)
+    
+    for dataset in datasets:
+        try:
+            filename = f"{dataset.get(dataset['name'])}.json"
+            filepath = os.path.join(dataset_dir, filename)
+            
+            with open(filepath, "w", encoding="utf-8") as f:
+                json.dump(dataset, f, ensure_ascii=False, indent=2)
+        except Exception as e:
+            print(f"Error saving dataset {dataset.get('id', 'unknown')}: {str(e)}")
+
 if __name__ == "__main__":
     # 定义工作目录路径
     workdir = os.path.join(os.path.dirname(__file__), "..", "workdir")
@@ -47,4 +71,11 @@ if __name__ == "__main__":
     # 打印结果
     print(f"Found {len(datasets)} datasets:")
     for ds in datasets.all():
-        print(f"- {ds['name']} (ID: {ds['id']})")
\ No newline at end of file
+        print(f"- {ds['name']} (ID: {ds['id']})")
+    
+    # 询问要保存的数据集名称
+    name = input("输入要保存的数据集名称(直接回车保存所有): ").strip() or None
+    
+    # 保存数据集到文件
+    save_dataset(datasets, workdir, name)
+    print(f"Datasets {'all' if name is None else name} saved to json files")
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