diff --git a/recbole/config/eval_setting.py b/recbole/config/eval_setting.py
index c377eb51a..30ed04f8e 100644
--- a/recbole/config/eval_setting.py
+++ b/recbole/config/eval_setting.py
@@ -203,7 +203,7 @@ def set_splitting(self, strategy='none', **kwargs):
         legal_strategy = {'none', 'by_ratio', 'by_value', 'loo'}
         if strategy not in legal_strategy:
             raise ValueError('Split Strategy [{}] should in {}'.format(strategy, list(legal_strategy)))
-        if strategy == 'loo' and self.group_by is None:
+        if strategy == 'loo' and self.group_field is None:
             raise ValueError('Leave-One-Out request group firstly')
         self.split_args = {'strategy': strategy}
         self.split_args.update(kwargs)
@@ -251,7 +251,7 @@ def set_neg_sampling(self, strategy='none', distribution='uniform', **kwargs):
             distribution (str): distribution of sampler, either 'uniform' or 'popularity'.
 
         Example:
-            >>> es.neg_sample_to(100)
+            >>> es.full()
             >>> es.neg_sample_by(1)
         """
         legal_strategy = {'none', 'full', 'by'}
diff --git a/recbole/data/dataloader/general_dataloader.py b/recbole/data/dataloader/general_dataloader.py
index 4e91dd945..818571586 100644
--- a/recbole/data/dataloader/general_dataloader.py
+++ b/recbole/data/dataloader/general_dataloader.py
@@ -230,7 +230,7 @@ def __init__(
                 positive_item = set()
             positive_item.add(iid)
         self._set_user_property(last_uid, uid2used_item[last_uid], positive_item)
-        self.uid_list = torch.tensor(self.uid_list)
+        self.uid_list = torch.tensor(self.uid_list, dtype=torch.int64)
         self.user_df = dataset.join(Interaction({uid_field: self.uid_list}))
 
         super().__init__(