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

Overview

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

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