Merge pull request #84 from ConvLab/clean_code

update README

README.md

@@ -20,7 +20,7 @@
 
 ## Installation
 
-You can install ConvLab-3 in the following ways according to your need. Higher versions of `torch` and `transformers` may also work.
+You can install ConvLab-3 in one of the following ways according to your need. Higher versions of `torch` and `transformers` may also work.
 
 ### Git clone and pip install in development mode (Recommend)
 
@@ -65,13 +65,15 @@ docker exec -it CONTAINER_ID bash
 
 ## Tutorials
 
-- [Getting Started](https://github.com/thu-coai/ConvLab-2/blob/master/tutorials/Getting_Started.ipynb) (Have a try on [Colab](https://colab.research.google.com/github/thu-coai/ConvLab-2/blob/master/tutorials/Getting_Started.ipynb)!) 
-- [Introduction to unified data format](https://github.com/ConvLab/ConvLab-3/tree/master/data/unified_datasets)
-- [Utility functions for unified datasets](https://github.com/ConvLab/ConvLab-3/blob/master/convlab/util/unified_datasets_util.py)
-- [How to add a new dataset](https://github.com/thu-coai/ConvLab-2/blob/master/tutorials/Add_New_Model.md)
-- How to add a new model
-- [How to use RL toolkit](https://github.com/thu-coai/ConvLab-2/blob/master/tutorials/Train_RL_Policies)
-- [Interactive tool](https://github.com/thu-coai/ConvLab-2/blob/master/deploy) [[demo video]](https://youtu.be/00VWzbcx26E)
+| Section                                                      | Description |
+| ------------------------------------------------------------ | ----------- |
+| [Getting Started](https://github.com/thu-coai/ConvLab-2/blob/master/tutorials/Getting_Started.ipynb) (Have a try on [Colab](https://colab.research.google.com/github/thu-coai/ConvLab-2/blob/master/tutorials/Getting_Started.ipynb)!) |             |
+| [Unified Data Format](https://github.com/ConvLab/ConvLab-3/tree/master/data/unified_datasets) |             |
+| [Utility functions for unified datasets](https://github.com/ConvLab/ConvLab-3/blob/master/convlab/util/unified_datasets_util.py) |             |
+| [RL Toolkit](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/policy) |             |
+| [How to add a new dataset](https://github.com/thu-coai/ConvLab-2/blob/master/tutorials/Add_New_Model.md) |             |
+| How to add a new model                                       |             |
+| [Interactive Tool](https://github.com/ConvLab/ConvLab-3/blob/master/deploy) [[demo video]](https://youtu.be/00VWzbcx26E) |             |
 
 ## Unified Datasets
 
@@ -102,11 +104,11 @@ We list newly integrated models in ConvLab-3 that support unified data format an
 | Response Generation            | [T5](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/base_models/t5) | Context         | Response         |
 | Goal-to-Dialogue                 | [T5](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/base_models/t5) | Goal            | Dialog           |
 | Natural Language Understanding | [T5](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/base_models/t5), [BERTNLU](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/nlu/jointBERT), [MILU](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/nlu/milu) | Context         | DA-U             |
-| Dialog State Tracking          | [T5](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/base_models/t5), SUMBT, SetSUMBT, TripPy | Context         | State            |
-| RL Policy                      | DDPT, PPO, PG                                                | State, DA-U, DB | DA-S             |
+| Dialog State Tracking          | [T5](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/base_models/t5), [SUMBT](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/dst/sumbt), [SetSUMBT](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/dst/setsumbt), TripPy | Context         | State            |
+| RL Policy                      | [DDPT](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/policy/vtrace_DPT), [PPO](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/policy/ppo), [PG](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/policy/pg) | State, DA-U, DB | DA-S             |
 | Natural Language Generation    | [T5](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/base_models/t5), SC-GPT | DA-S            | Response         |
 | End-to-End                     | SOLOIST                                                      | Context, DB     | State, Response  |
-| User simulator                 | TUS, GenTUS                                                  | Goal, DA-S      | DA-U, (Response) |
+| User simulator                 | [TUS](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/policy/tus), [GenTUS](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/policy/genTUS) | Goal, DA-S      | DA-U, (Response) |
 
 Trained models are available on [Hugging Face Hub](https://huggingface.co/ConvLab).
 

setup.py

@@ -24,7 +24,7 @@ setup(
     install_requires=[
         'joblib>=1.2.0',
         'pillow>=9.3.0',
-        'protobuf>=3.19.5',
+        'protobuf>=3.20.2',
         'oauthlib>=3.2.1',
         'accelerate',
         'rouge-score',