FineSumFact

该数据集是一个大规模的数据集，包含了针对由不同大型语言模型（LLM）生成的摘要的细致的事实性反馈。此外，该数据集利用了来自10个不同LLM的反馈，以增强轻量级模型的微调，优化资源效率的同时保持性能。其任务是针对摘要进行事实核实。

This is a large-scale dataset containing detailed factual feedback for summaries generated by various large language models (LLMs). Additionally, it leverages feedback from 10 distinct LLMs to enhance the fine-tuning of lightweight models, optimizing resource efficiency while maintaining performance. The core task of this dataset is factual verification for summaries.