Compared to news and chat summarization, the development of meeting summarization is hugely decelerated by the limited data. To this end, we introduce a versatile Chinese meeting summarization dataset, dubbed VCSum, consisting of 239 real-life meetings, with a total duration of over 230 hours. We claim our dataset is versatile because we provide the annotations of topic segmentation, headlines, segmentation summaries, overall meeting summaries, and salient sentences for each meeting transcript. As such, the dataset can adapt to various summarization tasks or methods, including segmentation-based summarization, multi-granularity summarization and retrieval-then-generate summarization. Our analysis confirms the effectiveness and robustness of VCSum. We also provide a set of benchmark models regarding different downstream summarization tasks on VCSum to facilitate further research. The dataset and code will be released at \url{https://github.com/hahahawu/VCSum}.

翻译：相较于新闻摘要和聊天摘要，会议摘要的发展因数据有限而严重受阻。为此，我们提出一个通用的中文会议摘要数据集，名为VCSum，包含239场真实会议，总时长超过230小时。我们宣称该数据集具有通用性，因为它为每份会议记录提供了主题分割、标题、分段摘要、整体会议摘要和显著句子的标注。因此，该数据集能够适应多种摘要任务或方法，包括基于分割的摘要、多粒度摘要和先检索后生成的摘要。分析证实了VCSum的有效性和稳健性。我们还针对VCSum上的不同下游摘要任务提供了一组基准模型，以促进进一步研究。数据集和代码将在\url{https://github.com/hahahawu/VCSum}发布。