https://github.com/Mayo-Clinic-RadOnc-Foundation-Models/Radiation-Oncology-NLP-Database

Radiation Oncology NLP Database
https://github.com/Mayo-Clinic-RadOnc-Foundation-Models/Radiation-Oncology-NLP-Database

Last synced: 19 days ago
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Radiation Oncology NLP Database

• Host: GitHub
• URL: https://github.com/Mayo-Clinic-RadOnc-Foundation-Models/Radiation-Oncology-NLP-Database
• Owner: Mayo-Clinic-RadOnc-Foundation-Models
• License: apache-2.0
• Created: 2023-05-15T04:03:08.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-07-04T16:00:44.000Z (12 months ago)
• Last Synced: 2024-04-28T04:29:00.070Z (2 months ago)
• Language: Python
• Size: 3.48 MB
• Stars: 8
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-medphys - Mayo RadOnc NLP Database - This is the world's first dedicated NLP dataset for radiation oncology, and it covers various NLP tasks to help advance research in this field. (Educational Resources)

README

        
# Radiation Oncology NLP Database :earth_americas:

[![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)



  

  


  

    

      

        

      

      

        

      

      

        

      

    

  


Welcome to the **Radiation Oncology NLP Database**! This is the world's first dedicated NLP dataset for radiation oncology, and it covers various NLP tasks to help advance research in this field. 

## Table of Contents

- [Introduction](#introduction)

- [Dataset Overview](#dataset-overview)

- [Getting Started](#getting-started)

- [Contributing](#contributing)

- [License](#license)

- [Contact](#contact)

## Introduction

Radiation Oncology NLP Database aims to provide a comprehensive dataset for natural language processing tasks related to radiation oncology. It has been specifically designed to cover a wide range of topics and tasks to enable researchers to develop Radiation-Oncology centered language models and test NLP algorithms/methods on domain-specific data.

## Dataset Overview

The dataset covers the following NLP tasks:

1. **Logic Reasoning**  

   *Last Update: now*

   

   This task focuses on the ability to reason logically about radiation oncology concepts and cases. It includes complex and multi-step reasoning challenges, as well as simpler deductions.

2. **Text Classification**  

   *Last Update: 4 minutes ago*

   

   This task involves classifying text data into predefined categories. It covers various aspects of radiation oncology, such as treatment planning, side effects, and more.

3. **Named Entity Recognition (NER)**  

   *Last Update: now*

   

   This task aims to identify and categorize specific entities, such as anatomical structures, radiation doses, and other relevant concepts in radiation oncology.

4. **Question and Answering (QA)**  

   *Last Update: now*

   

   This task focuses on the ability to provide concise and accurate answers to questions related to radiation oncology.

5. **Text Summarization**  

   *Last Update: now*

   

   This task involves creating concise and informative summaries of lengthy documents and research papers related to radiation oncology.

## Getting Started

To get started with the Radiation Oncology NLP Database, follow these steps:

1. Clone the repository

git clone https://github.com/zl-liu/Radiation-Oncology-NLP-Database.git

2. Install required packages (optional)

pip install -r requirements.txt

3. Explore the dataset and choose the appropriate task for your project

## Contributing

We welcome contributions to improve and expand the Radiation Oncology NLP Database. Please follow these guidelines:

1. Fork the project and create a new branch for your changes

2. Make your changes and test them

3. Open a pull request with a clear description of your changes

For more information on how to contribute, check out our [CONTRIBUTING.md](CONTRIBUTING.md).

## License

This project is licensed under the Apache 2.0 License. See [LICENSE.md](LICENSE.md) for more information.

## Contact

Please contact [email protected] for licensing and other non-technical queries. 

If you have any questions, issues, or suggestions, please feel free to reach out to us through [GitHub Issues](https://github.com/your_username_/radiation-oncology-nlp-database/issues).