Update README.md

README.md

@@ -37,7 +37,7 @@ The rules for each genre are defined below:
 
 ## Data
 
-A colelction of 171188 Vietnamese poems with different genres: luc-bat, 5-chu, 7-chu, 8-chu, 4-chu. Download [here](https://github.com/fsoft-ailab/Poem-Generator/raw/master/dataset/poems_dataset.zip)
+A collection of 171188 Vietnamese poems with different genres: luc-bat, 5-chu, 7-chu, 8-chu, 4-chu. Download [here](https://github.com/fsoft-ailab/Poem-Generator/raw/master/dataset/poems_dataset.zip)
 
 For more detail, refer to the _Acknowledgments_ section
 
@@ -75,7 +75,7 @@ poem = '''Người đi theo gió đuổi mây
 
 classifier.predict(poem)
 
-#>> [{'label': 'luc bat', 'confidence': 0.9999017715454102, 'poem_score': 0.75}]
+#>> [{'label': 'luc bat', 'confidence': 0.9999017715454102, 'poem_score': 0.75, 'l_score': 1.0, 't_score': 1.0, 'r_score': 0.5833333333333333}]
 ```
 
 ## Model
@@ -84,6 +84,6 @@ The model's weights are published at Huggingface [Anshler/vietnamese-poem-classi
 
 ## Acknowledgments
 
-_This project was inspired by the evaluation method from ```fsoft-ailab```_'s_ [SP-GPT2 Poem-Generator](https://github.com/fsoft-ailab/Poem-Generator)
+_This project was inspired by the evaluation method from ```fsoft-ailab```'s_ [SP-GPT2 Poem-Generator](https://github.com/fsoft-ailab/Poem-Generator)
 
-_Dataset also taken from their repo_
+_Dataset also taken from their repo_