Root cause analysis (RCA) is crucial for enhancing the reliability and
performance of complex systems. However, progress in this field has been
hindered by the lack of large-scale, open-source datasets tailored for RCA. To
bridge this gap, we introduce LEMMA-RCA, a large dataset designed for diverse
RCA tasks across multiple domains and modalities. LEMMA-RCA features various
real-world fault scenarios from IT and OT operation systems, encompassing
microservices, water distribution, and water treatment systems, with hundreds
of system entities involved. We evaluate the quality of LEMMA-RCA by testing
the performance of eight baseline methods on this dataset under various
settings, including offline and online modes as well as single and multiple
modalities. Our experimental results demonstrate the high quality of LEMMA-RCA.
The dataset is publicly available at this https URL

通过引入 LEMMA-RCA 这一大型数据集，本研究为不同领域和模态的根本原因分析任务提供了大规模、开源的数据集，从 IT 和 OT 操作系统中选择了各种实际故障情景，并涵盖微服务、供水分配以及水处理系统，在这些系统中涉及了数百个实体。通过对八种基线方法在不同模式和设置下在该数据集上的性能测试，实验结果表明 LEMMA-RCA 具有高质量。该数据集可在给定的 https 链接中公开获得。