diff --git a/run_code.txt b/run_code.txt
index c67522f..9d47031 100644
--- a/run_code.txt
+++ b/run_code.txt
@@ -1,7 +1,8 @@
 Running:
 # Train with train/test split
 python train.py --source_path <path to COLMAP or NeRF Synthetic dataset> --model_path <保存路径> --eval
-python train.py --source_path ../../Dataset/3DGS_Dataset/科技馆 --model_path output/kejiguan --eval --resolution 1
+python train.py --source_path ../../Dataset/3DGS_Dataset/linggongtang --model_path output/linggongtang --data_device 'cpu' --eval --resolution 1
+python train.py --source_path ../../Dataset/3DGS_Dataset/xiangjiadang --model_path output/xiangjiadang --data_device 'cpu' --eval --resolution 1
 
 --source_path / -s：COLMAP 或合成 Synthetic NeRF data set的源目录的路径。COLMAP类型包含 images/, sparse/0
 --model_path / -m：训练模型的存储路径，默认为 output/<random>
diff --git a/run_train_ours.py b/run_train_ours.py
index 5b627c7..51762f7 100644
--- a/run_train_ours.py
+++ b/run_train_ours.py
@@ -1,12 +1,11 @@
-# python train.py --source_path ../../Dataset/3DGS_Dataset/凌公塘 --model_path output/linggongtang --eval --resolution 1
-# scene: {'科技馆': 'kejiguan', '万佛塔': 'wanfota', '植物': 'zhiwu', '凌公塘': 'linggongtang', '湘家荡': 'xiangjiadang', '寺平古宅': 'sipingguzhai'}
-#      : {'科技馆': ['kejiguan', 'cuda'], '万佛塔': ['wanfota', 'cuda'], '植物': ['zhiwu', 'cuda'], '凌公塘': ['linggongtang', 'cpu'], '湘家荡': ['xiangjiadang', 'cpu'], '寺平古宅': ['sipingguzhai', 'cpu']}
+# python train.py --source_path ../../Dataset/3DGS_Dataset/linggongtang --model_path output/linggongtang --data_device 'cpu' --eval --resolution 1
+# scene: {'kejiguan': 'cuda', 'wanfota': 'cuda', 'zhiwu': 'cuda', 'linggongtang': 'cpu', 'xiangjiadang': 'cpu', 'sipingguzhai': 'cpu'}
 # device = cuda: 科技馆、万佛塔、植物
 #        = cpu:  凌公塘、湘家荡、寺平古宅
 
 import os
 
-for cuda, scene in enumerate({'科技馆': ['kejiguan', 'cuda'], '湘家荡': ['xiangjiadang', 'cpu'], '凌公塘': ['linggongtang', 'cpu'], '寺平古宅': ['sipingguzhai', 'cpu'],}.items()):
+for cuda, scene in enumerate({'linggongtang': 'cpu', 'xiangjiadang': 'cpu', 'sipingguzhai': 'cpu'}.items()):
     print('---------------------------------------------------------------------------------')
-    one_cmd = f'python train.py --source_path ../../Dataset/3DGS_Dataset/{scene[0]} --model_path output/{scene[1][0]} --data_device "{scene[1][1]}" --resolution 1 --eval'
+    one_cmd = f'python train.py --source_path ../../Dataset/3DGS_Dataset/{scene[0]} --model_path output/{scene[0]} --data_device "{scene[1]}" --resolution 1 --eval'
     os.system(one_cmd)
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