DataAugmentationTest
This repository focuses on enhancing business data characteristics through data augmentation techniques, leveraging open-source datasets from hotel booking scenarios.
Key Features:
- Business Data Augmentation: Utilizes large models to enhance original datasets based on business-specific characteristics.
- Data Preprocessing: Comprehensive guides on preprocessing hotel-related data for various applications.
- Development Environment Setup: Instructions on configuring Anaconda and PyCharm for project development.
- Project Testing: Steps to enhance data and create structured datasets suitable for training, validation, and testing.
Benefits:
- Enhanced Data Quality: Improve the user experience by generating more conversational and relevant hotel information.
- Comprehensive Documentation: Step-by-step instructions to facilitate easy setup and use of the project.
- Open-Source Community: Engage with other developers and contribute to the project through GitHub.
Highlights:
- Multi-Model Support: Options for using different large model frameworks.
- Video Tutorials: References to video resources for better understanding of setups and implementations.
