Update README.md

README.md

@@ -15,24 +15,26 @@ Quick Links:
 
 We considered the following tasks and provided corresponding pretrained models.
 
-| Model card | Description  | 
-| :-----------: | :----------- |
-|   | **Given a context and its two human responses, predict...** | 
-| [`microsoft/DialogRPT-updown`](https://huggingface.co/microsoft/DialogRPT-updown) |  ... which gets more upvotes?  | 
-| `microsoft/DialogRPT-width` (this model) | ... which gets more direct replies?  | 
-| [`microsoft/DialogRPT-depth`](https://huggingface.co/microsoft/DialogRPT-depth) |  ... which gets longer follow-up thread? | 
-|  | **Given a context and one human response, distinguish it with...**  |
-| [`microsoft/DialogRPT-human-vs-rand`](https://huggingface.co/microsoft/DialogRPT-human-vs-rand) | ... a random human response  | 
-| [`microsoft/DialogRPT-human-vs-machine`](https://huggingface.co/microsoft/DialogRPT-human-vs-machine) | ... a machine generated response  | 
+|Task | Description  | Pretrained model |
+| :------------- | :----------- | :-----------: |
+|  **Human feedback**  |  **given a context and its two human responses, predict...**|
+| `updown` |  ... which gets more upvotes? | [model card](https://huggingface.co/microsoft/DialogRPT-updown) |
+| `width`| ... which gets more direct replies?  | (this model) |
+| `depth`|  ... which gets longer follow-up thread?  | [model card](https://huggingface.co/microsoft/DialogRPT-width) |
+|  **Human-like** (human vs fake) | **given a context and one human response, distinguish it with...** |
+| `human_vs_rand`| ... a random human response  | [model card](https://huggingface.co/microsoft/DialogRPT-human-vs-rand) |
+| `human_vs_machine`| ... a machine generated response  | [model card](https://huggingface.co/microsoft/DialogRPT-human-vs-machine) |
+
 
 
 ### Examples:
-The `updown` score predicts how likely the response is getting upvoted.
+The `width` score predicts how likely the response is getting replied.
+Examples below can be reproduced with this [Colab Notebook](https://colab.research.google.com/drive/1cAtfkbhqsRsT59y3imjR1APw3MHDMkuV?usp=sharing)
 
-| Context | Response | `updown` score |
+| Context | Response | `width` score |
 | :------ | :------- | :------------: |
-| I love NLP! | Here’s a free textbook (URL) in case anyone needs it. | 0.613 |
-| I love NLP! | Me too! | 0.111 |
+| I love NLP! | Can anyone recommend a nice review paper? | 0.701 |
+| I love NLP! | Me too! | 0.029 |
 
 ### Contact:
 Please create an issue on [our repo](https://github.com/golsun/DialogRPT)