diff --git a/modelscope/models/cv/movie_scene_segmentation/model.py b/modelscope/models/cv/movie_scene_segmentation/model.py
index 8117961a..3a535727 100644
--- a/modelscope/models/cv/movie_scene_segmentation/model.py
+++ b/modelscope/models/cv/movie_scene_segmentation/model.py
@@ -74,7 +74,7 @@ class MovieSceneSegmentationModel(TorchModel):
         self.eps = 1e-5
 
     def forward(self, inputs: Dict[str, Any]) -> Dict[str, torch.Tensor]:
-        data = inputs['video']
+        data = inputs.pop('video')
         labels = inputs['label']
         outputs = self.shared_step(data)
 
diff --git a/tests/trainers/test_movie_scene_segmentation_trainer.py b/tests/trainers/test_movie_scene_segmentation_trainer.py
index f25dc92a..d598a63f 100644
--- a/tests/trainers/test_movie_scene_segmentation_trainer.py
+++ b/tests/trainers/test_movie_scene_segmentation_trainer.py
@@ -44,7 +44,6 @@ class TestImageInstanceSegmentationTrainer(unittest.TestCase):
         self.train_dataset = MsDataset.load(
             dataset_name=train_data_cfg.name,
             split=train_data_cfg.split,
-            namespace=train_data_cfg.namespace,
             cfg=train_data_cfg.cfg,
             test_mode=train_data_cfg.test_mode)
         assert next(
@@ -53,7 +52,6 @@ class TestImageInstanceSegmentationTrainer(unittest.TestCase):
         self.test_dataset = MsDataset.load(
             dataset_name=test_data_cfg.name,
             split=test_data_cfg.split,
-            namespace=test_data_cfg.namespace,
             cfg=test_data_cfg.cfg,
             test_mode=test_data_cfg.test_mode)
         assert next(