diff --git a/fastNLP/core/collect_fn.py b/fastNLP/core/collect_fn.py
index 14add06f..29f19e2c 100644
--- a/fastNLP/core/collect_fn.py
+++ b/fastNLP/core/collect_fn.py
@@ -118,6 +118,12 @@ class Collector:
     def outputs(self):
         return self.output2fn.keys()
 
+    def copy_from(self, col):
+        assert isinstance(col, Collector)
+        self.fns = col.fns.copy()
+        self.input2fn = col.input2fn.copy()
+        self.output2fn = col.output2fn.copy()
+        self._clear_fn2io()
 
 class CollectFn:
     def __init__(self):
diff --git a/fastNLP/core/dataset.py b/fastNLP/core/dataset.py
index b13eab76..c5210169 100644
--- a/fastNLP/core/dataset.py
+++ b/fastNLP/core/dataset.py
@@ -569,6 +569,7 @@ class DataSet(object):
         :param str field_name: 需要删除的field的名称.
         """
         self.field_arrays.pop(field_name)
+        self.collector.drop_field(field_name)
         return self
 
     def copy_field(self, field_name, new_field_name):
@@ -641,6 +642,7 @@ class DataSet(object):
         if field_name in self.field_arrays:
             self.field_arrays[new_field_name] = self.field_arrays.pop(field_name)
             self.field_arrays[new_field_name].name = new_field_name
+            self.collector.rename_field(field_name, new_field_name)
         else:
             raise KeyError("DataSet has no field named {}.".format(field_name))
         return self
@@ -933,6 +935,8 @@ class DataSet(object):
             train_set.field_arrays[field_name].to(self.field_arrays[field_name])
             dev_set.field_arrays[field_name].to(self.field_arrays[field_name])
 
+        train_set.collector.copy_from(self.collector)
+        dev_set.collector.copy_from(self.collector)
         return train_set, dev_set
 
     def save(self, path):
diff --git a/test/core/test_callbacks.py b/test/core/test_callbacks.py
index 11cf6704..e756040c 100644
--- a/test/core/test_callbacks.py
+++ b/test/core/test_callbacks.py
@@ -226,36 +226,36 @@ class TestCallback(unittest.TestCase):
                           callbacks=EarlyStopCallback(1), check_code_level=2)
         trainer.train()
 
-
+@unittest.skipIf('TRAVIS' in os.environ, "Skip in travis")
 def test_control_C():
     # 用于测试 ControlC , 再两次训练时用 Control+C 进行退出，如果最后不显示 "Test failed!" 则通过测试
     from fastNLP import ControlC, Callback
     import time
-    
+
     line1 = "\n\n\n\n\n*************************"
     line2 = "*************************\n\n\n\n\n"
-    
+
     class Wait(Callback):
         def on_epoch_end(self):
             time.sleep(5)
-    
+
     data_set, model = prepare_env()
-    
+
     print(line1 + "Test starts!" + line2)
     trainer = Trainer(data_set, model, optimizer=SGD(lr=0.1), loss=BCELoss(pred="predict", target="y"),
                       batch_size=32, n_epochs=20, dev_data=data_set,
                       metrics=AccuracyMetric(pred="predict", target="y"), use_tqdm=True,
                       callbacks=[Wait(), ControlC(False)], check_code_level=2)
     trainer.train()
-    
+
     print(line1 + "Program goes on ..." + line2)
-    
+
     trainer = Trainer(data_set, model, optimizer=SGD(lr=0.1), loss=BCELoss(pred="predict", target="y"),
                       batch_size=32, n_epochs=20, dev_data=data_set,
                       metrics=AccuracyMetric(pred="predict", target="y"), use_tqdm=True,
                       callbacks=[Wait(), ControlC(True)], check_code_level=2)
     trainer.train()
-    
+
     print(line1 + "Test failed!" + line2)