The code of "Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer".

Code

• data_preprocess.py: preprocess data for Dependent-T5.
• parameters.py: define parameters of Dependent-T5.
• train_tools.py: traning and evaluation code of Dependent-T5.
• main.py: run it to train and test Dependent T5 for LJP.

Data

• article_content_dict.pkl: the dict of law article contents and the key is law article item.

• data_{train, valid, test}.json:

  {
      "fact": "fact description.",
      "interpretation": "court view",
      "meta":{
          "relevant_articles": [the list of violated law articles items],
          "accusation": [the list of charges],
          "term_of_imprisonment": {
              "death_penalty": True or False,
              "life_imprisonment": True or False,
              "imprisonment": months of imprisoment,
          }
      }
      
  }

You can get data at the following address:

https://drive.google.com/drive/folders/1IdGh30v1lqXUf3XSAtOEAmX_G_U2i8gw?usp=sharing