This paper reports the overview of the VLSP 2022 - Vietnamese abstractive
multi-document summarization (Abmusu) shared task for Vietnamese News. This
task is hosted at the 9$^{th}$ annual workshop on Vietnamese Language and
Speech Processing (VLSP 2022). The goal of Abmusu shared task is to develop
summarization systems that could create abstractive summaries automatically for
a set of documents on a topic. The model input is multiple news documents on
the same topic, and the corresponding output is a related abstractive summary.
In the scope of Abmusu shared task, we only focus on Vietnamese news
summarization and build a human-annotated dataset of 1,839 documents in 600
clusters, collected from Vietnamese news in 8 categories. Participated models
are evaluated and ranked in terms of \texttt{ROUGE2-F1} score, the most typical
evaluation metric for document summarization problem.

本论文报告了越南语新闻的 VLSP 2022 - 越南摘要多文档自动化生成（Abmusu）共享任务的概述。该任务旨在开发能够自动为一组关于某个主题的文档创建摘要的自动化系统。参与的模型根据 ROUGE2-F1 分数进行评估和排名。