diff --git a/recbole/data/utils.py b/recbole/data/utils.py
index 91cb08727..accf76dfc 100644
--- a/recbole/data/utils.py
+++ b/recbole/data/utils.py
@@ -94,7 +94,8 @@ def data_preparation(config, dataset, save=False):
 
     kwargs = {}
     if config['training_neg_sample_num']:
-        es.neg_sample_by(config['training_neg_sample_num'])
+        train_distribution = config['training_neg_sample_distribution'] or 'uniform'
+        es.neg_sample_by(by=config['training_neg_sample_num'], distribution=train_distribution)
         if model_type != ModelType.SEQUENTIAL:
             sampler = Sampler(phases, builded_datasets, es.neg_sample_args['distribution'])
         else:
@@ -120,6 +121,7 @@ def data_preparation(config, dataset, save=False):
         getattr(es, es_str[1])()
         if 'sampler' not in locals():
             sampler = Sampler(phases, builded_datasets, es.neg_sample_args['distribution'])
+        sampler.set_distribution(es.neg_sample_args['distribution'])   
         kwargs['sampler'] = [sampler.set_phase('valid'), sampler.set_phase('test')]
         kwargs['neg_sample_args'] = copy.deepcopy(es.neg_sample_args)
     valid_data, test_data = dataloader_construct(
diff --git a/recbole/sampler/sampler.py b/recbole/sampler/sampler.py
index 150324c84..e16a417fa 100644
--- a/recbole/sampler/sampler.py
+++ b/recbole/sampler/sampler.py
@@ -155,6 +155,12 @@ def get_used_ids(self):
             last = used_item_id[phase] = cur
         return used_item_id
 
+    def set_distribution(self, distribution):
+        if self.distribution == distribution:
+            return
+        self.distribution = distribution
+        self.random_list = self.get_random_list()
+ 
     def set_phase(self, phase):
         """Get the sampler of corresponding phase.
 
@@ -295,6 +301,12 @@ def get_random_list(self):
         else:
             raise NotImplementedError('Distribution [{}] has not been implemented'.format(self.distribution))
 
+    def set_distribution(self, distribution):
+        if self.distribution == distribution:
+            return
+        self.distribution = distribution
+        self.random_list = self.get_random_list()
+        
     def get_used_ids(self):
         """
         Returns: