DataAugmentationTest

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.