Update README.md

README.md

@@ -13,6 +13,8 @@ We utilize 4 Chinese dialogue datasets from [LUGE](https://www.luge.ai/#/)
 | LCCC                         | 11,987,759 | Open                  |
 | Emotional STC (ESTC)         | 899,207    | Open                  |
 | KdConv                       | 3,000      | Movie, Music, Travel  |
+| ----                         | ----       | ----                  |
+
 
 # Example
 ```python
@@ -21,4 +23,4 @@ from transformers import BertTokenizer, BartForConditionalGeneration
 
 tokenizer = BertTokenizer.from_pretrained("HIT-TMG/dialogue-bart-large-chinese")
 model = BartForConditionalGeneration.from_pretrained("HIT-TMG/dialogue-bart-large-chinese")
-'''
+ ```