SpursGoZmy/Tabular-LLM
本项目旨在收集开源的表格智能任务数据集（比如表格问答、表格-文本生成等），将原始数据整理为指令微调格式的数据并微调LLM，进而增强LLM对于表格数据的理解，最终构建出专门面向表格智能任务的大型语言模型。
This project helps researchers and developers enhance the ability of large language models (LLMs) to understand and interact with tabular data. It collects various open-source datasets related to table-based tasks like question answering or text generation from tables. The project then processes this raw data into a format suitable for fine-tuning LLMs, resulting in specialized models that can better process complex table structures and answer questions about their content.
644 stars. No commits in the last 6 months.
Use this if you are a researcher or developer looking for high-quality, pre-processed datasets and fine-tuned models to improve LLMs' performance on tasks involving tables, especially for specific vertical domains.
Not ideal if you are an end-user simply looking for an off-the-shelf tool to analyze or generate content from tables without needing to delve into model training or data preparation.
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Apr 22, 2024
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