Debate Performance Dataset

该数据集包含了不同大型语言模型（LLM）在一系列开放式话题上的辩论结果。它不仅提供了辩论的详细结果，还根据不同模型对之间的辩论胜场数给出了排名。该数据集的规模为：在25个话题上，模型对之间进行了50场辩论。这一任务旨在通过辩论来评估LLM的表现。

This dataset contains debate results generated by various Large Language Models (LLMs) on a series of open-ended topics. It not only provides detailed records of each debate, but also generates rankings based on the total number of debate wins between each pair of competing models. The dataset comprises 50 debates conducted between model pairs across 25 distinct topics. This task aims to evaluate the performance of LLMs through debate.