diff --git a/ce_tests/dygraph/quant/readme.md b/ce_tests/dygraph/quant/readme.md
index 4884d6d006991400af64f37100db9aac23502456..33826a72d45c03af4701d1021f232e4437994254 100644
--- a/ce_tests/dygraph/quant/readme.md
+++ b/ce_tests/dygraph/quant/readme.md
@@ -2,7 +2,7 @@
 
 安装需要测试的Paddle版本和PaddleSlim版本。
 
-准备ImageNet数据集，数据集需要满足paddle hapi的要求。假定解压到`/dataset/ILSVRC2012`文件夹，该文件夹下有`train文件夹、val_hapi文件夹、train_list.txt和val_list.txt文件`。如果数据集有问题，可以私聊。
+准备ImageNet数据集，数据集需要满足paddle hapi的要求。假定解压到`/dataset/ILSVRC2012`文件夹，该文件夹下有`train文件夹、val文件夹、train_list.txt和val_list.txt文件`。
 
 通过`export CUDA_VISIBLE_DEVICES=xx`指定需要使用的GPU ID。
 
diff --git a/ce_tests/dygraph/quant/run_ptq.sh b/ce_tests/dygraph/quant/run_ptq.sh
index aabef03abb595056d38e3b499bf82e3972f6c30a..686ee525cf4a85d10540adf2d363c70d03519b60 100644
--- a/ce_tests/dygraph/quant/run_ptq.sh
+++ b/ce_tests/dygraph/quant/run_ptq.sh
@@ -1,4 +1,4 @@
-data_path="/dataset/ILSVRC2012"
+data_path="/root/datasets/ILSVRC2012"
 quant_batch_num=10
 quant_batch_size=10
 
diff --git a/ce_tests/dygraph/quant/run_qat.sh b/ce_tests/dygraph/quant/run_qat.sh
index a100853e73ca2e7f2912b8504c993a40bcbb07bb..2cc0ddd3dea0cde68ee153c24d373cac2fd6ca8b 100644
--- a/ce_tests/dygraph/quant/run_qat.sh
+++ b/ce_tests/dygraph/quant/run_qat.sh
@@ -1,5 +1,5 @@
-data_path="/dataset/ILSVRC2012"
-val_dir="val_hapi"
+data_path="/root/datasets/ILSVRC2012"
+val_dir="val"
 epoch=1
 lr=0.0001
 batch_size=32
diff --git a/ce_tests/dygraph/quant/src/ptq.py b/ce_tests/dygraph/quant/src/ptq.py
index 2695ed0a87a8ac23e18a091730425362df79a58d..bb1138dfc280a270ab971e0399d196adcb219739 100644
--- a/ce_tests/dygraph/quant/src/ptq.py
+++ b/ce_tests/dygraph/quant/src/ptq.py
@@ -100,7 +100,7 @@ if __name__ == '__main__':
     )
     parser.add_argument(
         '--val_dir',
-        default="val_hapi",
+        default="val",
         help='the dir that saves val images for paddle.Model')
 
     # train
diff --git a/ce_tests/dygraph/quant/src/qat.py b/ce_tests/dygraph/quant/src/qat.py
index e52b2fec1a16d273eced70bba70b510bfe19e63d..0737505f6a16ddaccba2e6e43fad805386973328 100644
--- a/ce_tests/dygraph/quant/src/qat.py
+++ b/ce_tests/dygraph/quant/src/qat.py
@@ -154,7 +154,7 @@ if __name__ == '__main__':
         '(should have subdirectories named "train" and "val"')
     parser.add_argument(
         '--val_dir',
-        default="val_hapi",
+        default="val",
         help='the dir that saves val images for paddle.Model')
 
     # train
diff --git a/ce_tests/dygraph/quant/src/test.py b/ce_tests/dygraph/quant/src/test.py
index 1b05b4f00e789e24a7a785c632410f272b45ddae..0bd432ac7d8393308faf699ac96209ef2e7d3581 100644
--- a/ce_tests/dygraph/quant/src/test.py
+++ b/ce_tests/dygraph/quant/src/test.py
@@ -35,7 +35,7 @@ def eval(args):
 
     # prepare data
     val_dataset = dataset.ImageNetDataset(
-        path=os.path.join(args.data_dir, 'val_hapi'), mode='val')
+        path=os.path.join(args.data_dir, 'val'), mode='val')
     eval_loader = paddle.io.DataLoader(
         val_dataset, batch_size=args.batch_size, num_workers=5)