Update README.md

README.md

@@ -1,3 +1,16 @@
+# Demo
+
+Please try this [➤➤➤ Colab Notebook Demo (click me!)](https://colab.research.google.com/drive/1cAtfkbhqsRsT59y3imjR1APw3MHDMkuV?usp=sharing)
+
+| Context | Response | `human_vs_rand` score |
+| :------ | :------- | :------------: |
+| I love NLP! | He is a great basketball player. | 0.027 |
+| I love NLP! | Can you tell me how it works? | 0.754 |
+| I love NLP! | Me too! | 0.631 |
+
+The `human_vs_rand` score predicts how likely the response is corresponding to the given context, rather than a random response.
+
+
 # DialogRPT-human-vs-rand
 
 ### Dialog Ranking Pretrained Transformers
@@ -27,16 +40,6 @@ We considered the following tasks and provided corresponding pretrained models.
 
 
 
-### Examples:
-The `human_vs_rand` score predicts how likely the response is corresponding to the given context, rather than a random response.
-Examples below can be reproduced with this [Colab Notebook](https://colab.research.google.com/drive/1cAtfkbhqsRsT59y3imjR1APw3MHDMkuV?usp=sharing)
-
-| Context | Response | `human_vs_rand` score |
-| :------ | :------- | :------------: |
-| I love NLP! | He is a great basketball player. | 0.027 |
-| I love NLP! | Can you tell me how it works? | 0.754 |
-| I love NLP! | Me too! | 0.631 |
-
 ### Contact:
 Please create an issue on [our repo](https://github.com/golsun/DialogRPT)