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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: 2 months 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 (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-07-04T16:00:44.000Z (over 1 year ago)
- Last Synced: 2024-06-11T22:53:29.732Z (7 months ago)
- Language: Python
- Size: 3.48 MB
- Stars: 8
- Watchers: 3
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- 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.git2. Install required packages (optional)
pip install -r requirements.txt3. 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 changesFor 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).