diff --git a/mindspore/dataset/engine/datasets.py b/mindspore/dataset/engine/datasets.py
index b00bfd6efe..db6f1e3c1a 100644
--- a/mindspore/dataset/engine/datasets.py
+++ b/mindspore/dataset/engine/datasets.py
@@ -1921,6 +1921,8 @@ class BatchDataset(Dataset):
         new_op.python_multiprocessing = copy.deepcopy(self.python_multiprocessing, memodict)
         new_op.hook = copy.deepcopy(self.hook, memodict)
         new_op.pad_info = copy.deepcopy(self.pad_info, memodict)
+        if hasattr(self, "__total_batch__"):
+            new_op.__total_batch__ = self.__total_batch__
         return new_op
 
     # Iterator bootstrap will be called on iterator construction.
@@ -1939,6 +1941,7 @@ class BatchDataset(Dataset):
             idx = 0
             # Wrap per_batch_map into _PythonCallable
             self.per_batch_map = _PythonCallable(self.per_batch_map, idx, self.process_pool)
+            self.hook = _ExceptHookHandler()
 
     def __del__(self):
         if hasattr(self, 'process_pool') and self.process_pool is not None:
@@ -2205,15 +2208,12 @@ class _PythonCallable:
 
 
 class _ExceptHookHandler:
-    def __init__(self, pool):
-        self.__pool = pool
+    def __init__(self):
         sys.excepthook = self.__handler_exception
 
     def __handler_exception(self, type, value, tb):
         logger.error("Uncaught exception: ", exc_info=(type, value, tb))
-        if self.__pool is not None:
-            _set_iterator_cleanup()
-            self.__pool.terminate()
+        _set_iterator_cleanup()
 
 
 class MapDataset(Dataset):
@@ -2350,7 +2350,8 @@ class MapDataset(Dataset):
 
             # Pass #1, look for Python callables and build list
             for op in self.operations:
-                if callable(op):
+                # our c transforms is now callable and should not be run in python multithreading
+                if callable(op) and str(op).find("c_transform") < 0:
                     callable_list.append(op)
 
             if callable_list:
@@ -2362,7 +2363,8 @@ class MapDataset(Dataset):
                 # Pass #2
                 idx = 0
                 for op in self.operations:
-                    if callable(op):
+                    # our c transforms is now callable and should not be run in python multithreading
+                    if callable(op) and str(op).find("c_transform") < 0:
                         # Wrap Python callable into _PythonCallable
                         iter_specific_operations.append(_PythonCallable(op, idx, self.process_pool))
                         idx += 1
@@ -2370,6 +2372,7 @@ class MapDataset(Dataset):
                         # CPP ops remain the same
                         iter_specific_operations.append(op)
                 self.operations = iter_specific_operations
+                self.hook = _ExceptHookHandler()
 
     def __del__(self):
         if hasattr(self, 'process_pool') and self.process_pool is not None: