TableNet A Large-Scale Table Dataset with LLM-Powered Autonomous

1. 1Collect and preprocess table data from multiple sources using LLM-powered autonomous methods
2. 2Generate new table structures using the collected data and LLMs
3. 3Train and evaluate table structure recognition models using the TableNet dataset
4. 4Compare the performance of different models on the TableNet dataset
5. 5Apply the trained models to real-world table structure recognition tasks

Data scientists and researchers working on table structure recognition tasks can benefit from this dataset to improve their model's performance and logical reasoning ability

💡 LLM-powered autonomous methods can generate high-quality table datasets, improving table structure recognition tasks

📊 Introducing TableNet, a large-scale table dataset generated using LLM-powered autonomous methods! 🚀 Improve your table structure recognition models with this new dataset #TableNet #LLM #TSR