diff --git a/ppcls/data/dataset/multilabel_dataset.py b/ppcls/data/dataset/multilabel_dataset.py
index 913880c54b888ce80a227f5f352cad38b0be8500..c11555003a4d51a719d8d73892bbc4e835fbc9db 100644
--- a/ppcls/data/dataset/multilabel_dataset.py
+++ b/ppcls/data/dataset/multilabel_dataset.py
@@ -31,38 +31,8 @@ from ppcls.data.preprocess import transform
 from ppcls.utils import logger
 
 
-def create_operators(params):
-    """
-    create operators based on the config
-    Args:
-        params(list): a dict list, used to create some operators
-    """
-    assert isinstance(params, list), ('operator config should be a list')
-    ops = []
-    for operator in params:
-        print(operator)
-        assert isinstance(operator,
-                          dict) and len(operator) == 1, "yaml format error"
-        op_name = list(operator)[0]
-        param = {} if operator[op_name] is None else operator[op_name]
-        op = getattr(preprocess, op_name)(**param)
-        ops.append(op)
-
-    return ops
-
 
 class MultiLabelDataset(Dataset):
-    def __init__(
-            self,
-            image_root,
-            cls_label_path,
-            transform_ops=None, ):
-        self._img_root = image_root
-        self._cls_path = cls_label_path
-        if transform_ops:
-            self._transform_ops = create_operators(transform_ops)
-        self._dtype = paddle.get_default_dtype()
-        self._load_anno()
 
     def _load_anno(self):
         assert os.path.exists(self._cls_path)
@@ -99,12 +69,7 @@ class MultiLabelDataset(Dataset):
             rnd_idx = np.random.randint(self.__len__())
             return self.__getitem__(rnd_idx)
 
-    def __len__(self):
-        return len(self.images)
 
-    @property
-    def class_num(self):
-        return len(set(self.labels))