Update README.md

README.md

@@ -28,14 +28,13 @@ We considered the following tasks and provided corresponding pretrained models.
 
 
 ### Examples:
-The `human_vs_machine` score predicts how likely the response is corresponding to the given context, rather than a random response.
+The `human_vs_machine` score predicts how likely the response is from a human rather than a machine.
 Examples below can be reproduced with this [Colab Notebook](https://colab.research.google.com/drive/1cAtfkbhqsRsT59y3imjR1APw3MHDMkuV?usp=sharing)
 
 | Context | Response | `human_vs_machine` 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 |
+| I love NLP! | I'm not sure if it's a good idea. | 0.000 |
+| I love NLP! | Me too! | 0.605 |
 
 ### Contact:
 Please create an issue on [our repo](https://github.com/golsun/DialogRPT)