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<h1>legalis</h1>
<h4>This is the monorepo for the legalis project. Focus of proejct is prediction work and datascience around German Court cases. Currently this repo contains a folder for Data and Mode, each linking back to a Huggingface Repo and containing an notebook for creating of the respective Items.</h4>
<h4>This is the mono repo for the legalis project. The focus of project is prediction work and data science around German Court cases. Currently, this repo contains a folder for Data, Model and App. Each contains the notebook/python files for the respective part of the project.</h4>

<h4>The project contains two notebooks for cleaning and enhancing with the CHatGPT API, as well as one notebook used for training a random forest and Naive Bayes Multimodal Model and one for a BERT Classification Model fine-tuned on top of a German BERT. The latter is also running in a huggingface spaces.</h4>

<h2>🔗 Links:</h2>

**[Model on Huggingface](https://huggingface.co/LennardZuendorf/legalis)**
**[Interactive Model on Huggingface](https://huggingface.co/spaces/LennardZuendorf/legalis)**

**[BERT Model on Huggingface](https://huggingface.co/LennardZuendorf/legalis-BERT)**

**[Dataset on Huggingface](https://huggingface.co/datasets/LennardZuendorf/legalis)**
**[Labeled Dataset on Huggingface](https://huggingface.co/datasets/LennardZuendorf/legalis)**

<h2>🏗️ Tech Stack:</h2>

**Language/Platform:** Python, JupyterNotebook

**Noteable Packages:** 🤗 Datasets, 🤗Evaluate, scikit-learn
**Noteable Libaries:** 🤗Datasets, 🤗Evaluate, scikit-learn, 🤗Transformers

**Base Dataset:** [https://huggingface.co/datasets/LennardZuendorf/Dynamically-Generated-Hate-Speech-Dataset](https://huggingface.co/datasets/LennardZuendorf/openlegaldata-bulk-data))
**Base Dataset:** [OpenLegalData](https://huggingface.co/datasets/LennardZuendorf/openlegaldata-bulk-data)

<h2>👨‍💻 Author and Credits:</h2>

**Author:** [@LennardZuendorf](https://github.com/LennardZuendorf)

- This project is part of a course in HTW Berlin's Business Computing Bachelor Program.
- This project is part of a course in HTW Berlin's Business Computing Bachelor Program ("Unternehmenssoftware")

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