diff --git a/core/trainers/framework/dataset.py b/core/trainers/framework/dataset.py
index 5c5a2357ff4a07d54d4e0c56e692b4d79fcb2095..278df79f4d6e116a19e106ad141e417779f6c02d 100644
--- a/core/trainers/framework/dataset.py
+++ b/core/trainers/framework/dataset.py
@@ -21,7 +21,7 @@ from paddlerec.core.utils import envs
 from paddlerec.core.utils import dataloader_instance
 from paddlerec.core.reader import SlotReader
 from paddlerec.core.trainer import EngineMode
-from paddlerec.core.utils.util import split_files
+from paddlerec.core.utils.util import split_files, check_filelist
 
 __all__ = ["DatasetBase", "DataLoader", "QueueDataset"]
 
@@ -119,10 +119,15 @@ class QueueDataset(DatasetBase):
         dataset.set_pipe_command(pipe_cmd)
         train_data_path = envs.get_global_env(name + "data_path")
 
-        file_list = [
-            os.path.join(train_data_path, x)
-            for x in os.listdir(train_data_path)
-        ]
+        hidden_file_list, file_list = check_filelist(
+            hidden_file_list=[],
+            data_file_list=[],
+            train_data_path=train_data_path)
+        if (hidden_file_list is not None):
+            print(
+                "Warning:please make sure there are no hidden files in the dataset folder and check these hidden files:{}".
+                format(hidden_file_list))
+
         file_list.sort()
         need_split_files = False
         if context["engine"] == EngineMode.LOCAL_CLUSTER:
diff --git a/core/utils/dataloader_instance.py b/core/utils/dataloader_instance.py
index d878f08415c7b0405bc593f06ab4541801aa5501..f484626a73f69481f3ae51b35fc5b6e717870938 100755
--- a/core/utils/dataloader_instance.py
+++ b/core/utils/dataloader_instance.py
@@ -19,7 +19,7 @@ from paddlerec.core.utils.envs import get_global_env
 from paddlerec.core.utils.envs import get_runtime_environ
 from paddlerec.core.reader import SlotReader
 from paddlerec.core.trainer import EngineMode
-from paddlerec.core.utils.util import split_files
+from paddlerec.core.utils.util import split_files, check_filelist
 
 
 def dataloader_by_name(readerclass,
@@ -38,7 +38,13 @@ def dataloader_by_name(readerclass,
         assert package_base is not None
         data_path = os.path.join(package_base, data_path.split("::")[1])
 
-    files = [str(data_path) + "/%s" % x for x in os.listdir(data_path)]
+    hidden_file_list, files = check_filelist(
+        hidden_file_list=[], data_file_list=[], train_data_path=data_path)
+    if (hidden_file_list is not None):
+        print(
+            "Warning:please make sure there are no hidden files in the dataset folder and check these hidden files:{}".
+            format(hidden_file_list))
+
     files.sort()
 
     need_split_files = False
@@ -54,8 +60,6 @@ def dataloader_by_name(readerclass,
         files = split_files(files, context["fleet"].worker_index(),
                             context["fleet"].worker_num())
 
-    print("file_list : {}".format(files))
-
     reader = reader_class(yaml_file)
     reader.init()
 
@@ -92,7 +96,13 @@ def slotdataloader_by_name(readerclass, dataset_name, yaml_file, context):
         assert package_base is not None
         data_path = os.path.join(package_base, data_path.split("::")[1])
 
-    files = [str(data_path) + "/%s" % x for x in os.listdir(data_path)]
+    hidden_file_list, files = check_filelist(
+        hidden_file_list=[], data_file_list=[], train_data_path=data_path)
+    if (hidden_file_list is not None):
+        print(
+            "Warning:please make sure there are no hidden files in the dataset folder and check these hidden files:{}".
+            format(hidden_file_list))
+
     files.sort()
 
     need_split_files = False
@@ -156,7 +166,13 @@ def slotdataloader(readerclass, train, yaml_file, context):
         assert package_base is not None
         data_path = os.path.join(package_base, data_path.split("::")[1])
 
-    files = [str(data_path) + "/%s" % x for x in os.listdir(data_path)]
+    hidden_file_list, files = check_filelist(
+        hidden_file_list=[], data_file_list=[], train_data_path=data_path)
+    if (hidden_file_list is not None):
+        print(
+            "Warning:please make sure there are no hidden files in the dataset folder and check these hidden files:{}".
+            format(hidden_file_list))
+
     files.sort()
 
     need_split_files = False
diff --git a/core/utils/util.py b/core/utils/util.py
index 4eba912cafda6619ba37c3f8bc170d7d41ea40c4..f6acfe203612326a77f41326581583278dac4183 100755
--- a/core/utils/util.py
+++ b/core/utils/util.py
@@ -201,6 +201,28 @@ def split_files(files, trainer_id, trainers):
     return trainer_files[trainer_id]
 
 
+def check_filelist(hidden_file_list, data_file_list, train_data_path):
+    for root, dirs, files in os.walk(train_data_path):
+        if (files == None and dirs == None):
+            return None, None
+        else:
+            # use files and dirs
+            for file_name in files:
+                file_path = os.path.join(train_data_path, file_name)
+                if file_name[0] == '.':
+                    hidden_file_list.append(file_path)
+                else:
+                    data_file_list.append(file_path)
+            for dirs_name in dirs:
+                dirs_path = os.path.join(train_data_path, dirs_name)
+                if dirs_name[0] == '.':
+                    hidden_file_list.append(dirs_path)
+                else:
+                    #train_data_path = os.path.join(train_data_path, dirs_name)
+                    check_filelist(hidden_file_list, data_file_list, dirs_path)
+            return hidden_file_list, data_file_list
+
+
 class CostPrinter(object):
     """
     For count cost time && print cost log